The subsistence technology of forager communities has varied greatly over space and time. This paper (i) reviews briefly the main causal factors the literature identifies as responsible for this variation; (ii) analyzes in some detail the most prominent idea in the literature on spatial variation:Complex technology is an adaptive response to elevated risks of subsistence failure; (iii) it argues that the alleged empirical support for this hypothesis depends on dubious proxies of risk; (iv) it argues that it fails to (...) explain the subsistence technologies of desert foragers, who generally live with simple technologies in high‐risk environments; (v) it offers an alternative analysis, based on the reduced opportunity costs of complex technologies in highly seasonal environments, on the high value of typical forager targets in those environments and their relatively predictable location in space and time; and (v) the paper concludes with a conjecture about the role of environmental variation in toolkit change over deep time. (shrink)

In recent years, risk management and analysis has attracted a great deal of attention from both researchers and practitioners. Enterprise risk management has become an important topic in today’s more complex, interrelated global business environment, replete with threats from natural, political, economic, and technical sources. This survey and introductory article addresses computerized tools used for risk management and analysis. Risks are studied from perspectives of different disciplines, with a discussion of how various methods and tools are (...) used to optimize risk management. (shrink)

Powerful, technically complex international compliance regimes have developed recently in certain professions that deal with risk: banking (the Basel II regime), accountancy (IFRS) and the actuarial profession. The need to deal with major risks has acted as a strong driver of international co-operation to create enforceable international semilegal systems, as happened earlier in such fields as international health regulations. This regulation in technical fields contrasts with the failure of an international general-purpose political and legal regime to develop. We (...) survey the new global regulatory systems in the actuarial, banking and accounting fields, with a view to showing how the need to deal reasonably with risk has resulted in an international de facto law solidly based on correct abstract principles of probability. (shrink)

It is of practical significance to introduce the Internet of Things technology into the financial service industry and find the driving factors and mechanisms of financial innovation to accelerate the promotion of financial innovation. This article starts from the perspective of banks and other supply chain financial institutions, takes mainstream trading products in the commodity trading market as the research object, uses the LA-VAR model, and fully considers the market price fluctuations and liquidity factors of supply chain financial inventory products. (...) It analyzes the theoretical basis of the continuous innovation of rural financial products. On the basis of analyzing the basic characteristics and types of rural financial product innovation, we explore the connotation of sustainable innovation of rural financial products, clarify the evaluation criteria, and lay a theoretical foundation for continuous dynamic evaluation. Based on technical innovation evaluation theoretical models such as Schumpeter’s innovation model, technical specifications-technological track model, and NR relationship model market, we analyze the innovation elements of rural financial products from the external and internal aspects of innovation and discuss the relationship between the factors. The interaction mechanism of rural financial products has established a dynamic mechanism model for the continuous innovation of rural financial products. A fuzzy comprehensive evaluation was made on the continuous innovation power of financial service industry products in a certain area. Using a combination of remote surveys and on-site visits, a questionnaire survey was conducted on financial service industry institutions in a certain region’s financial system. Each survey object was required to conduct 120 × 1067 index comparisons and use the data after processing the arithmetic average Matlab carries out the objective processing of programming. The results show that the LA-VAR model with liquidity indicators can measure the liquidity risk well and more comprehensively evaluate the risk of the inventory pledge financing model. According to the index weights determined by AHP, the development of the financial service industry will be promoted in a targeted manner from the internal construction of financial institutions and the optimization of the external innovation environment. (shrink)

There has been a great deal of theoretical discussion about the merits and faults of greater public involvement in technology policy decisions but comparatively less case-based empirical consideration. This article assesses the theoretical and practical implications of two decision styles—technical adversarialism and participatory collaboration—in decision making on the U.S. Chemical Weapons Disposal Program. This case is useful in that it allows for a longitudinal assessment of these two distinct decision approaches applied to the same policy issue and provides an (...) opportunity to evaluate the differential outcomes produced by each. In addition, the high degree of technical complexity and risk involved offers insight into the role lay citizens can play in even the most complicated technical decisions. Comparing the practical consequences of both decision-making approaches suggests that increasing collaboration among citizens and experts can produce decisions that are both politically viable and technically safer than more insular, adversarial forms. (shrink)

With the rapid development of the market economy, there are more and more projects in the financial industry, and their complexity and technical requirements are getting higher and higher. The development of computer technology has promoted the birth of robot consultants, and it is of great significance to use robot consultants to manage and supervise financial industry projects. In order to further analyze the development and supervision of robo-advisors under the digital inclusive financial system, this paper uses complex (...) systems and clustering algorithms as technical support to carry out research. First, the traditional K-means algorithm is used to select the initial clustering center, to improve the noise and outlier processing capabilities, and to build a data mining system based on the improved algorithm. Then, a product design model for robo-advisors is built and the risks of robo-advisors are analyzed from three aspects: technology, market, and law. Analyzing the performance of the improved K-means algorithm, in the operation of the experimental dataset B, the accuracy of the clustering result after 6 iterations reached 97.08%, which shows that the algorithm has good performance. During the trial operation of the data mining system, the four types of customers of financial institutions were accurately clustered, and it was concluded that the main type of customers who brought benefits to financial institutions was high-income customers accounting for 10.75%. Robo-advisory product models are used to build five risk-level investment portfolios and conduct risk backtests. Except for the growth and income portfolio, other portfolios have consistently outperformed the performance benchmark during the analyzed time period. Running the research system of this paper in a financial institution, comparing the capital budget before and after the operation, found that the system can improve the accuracy of the budget and reduce the risk of the robo-advisor for the financial institution. (shrink)

This article considers financial risk management practice using a virtue ethics lens, in response to ongoing critiques of risk management from within business ethics. Risk management should be seen as embedded within a complex system of cultures, organizations and regulations that are underpinned by a quantitatively reductive or ‘mechanistic’ economic paradigm, where dominant logics of self-interest, profit maximization and short-termism prevail. Building on recent work applying virtue ethics in finance, an alternative to the values, normative expectations and (...) priorities in financial risk management is presented in the form of a refined ‘taxonomy’ of the virtues that can be applied to individuals and organizations engaged in financial risk management. This article aims to contribute to and extend debate on the ethical aspects of risk management and presents an alternative to more technically based critiques which do not engage with the underlying socially constructed foundations of risk management practice. It thereby provides a basis to critique the mechanistic and narrow approach used in the current regulation of the sector. (shrink)

Solving complex socio-technical problems, this paper claims, involves diverse knowledges (cognitive diversity), competing interests (social diversity), and pragmatism. To explain this view, this paper first explores two different cases: Canadian pulp and paper mill pollution and siting nuclear reactors in seismically sensitive areas of California. Solving such socio-technically complex problems involves cognitive diversity as well as social diversity and pragmatism. Cognitive diversity requires one to not only recognize relevant knowledges but also to assess their validity. Finally, it is suggested, (...) integrating the resultant set of diverse relevant and valid knowledges determines the parameters of the solution space for the problem. (shrink)

How do engineers respond to ethical dilemmas that occur in practice? How do they view their individual and collective responsibilities? How do they make decisions before all the facts are in? Using the space shuttle programme as the framework, this book examines the role of ethical decision making in the practice of engineering. In particular, the book considers the design and development of the main engines of the space shuttle as a paradigm for how individual engineers perceive, articulate, and resolve (...) ethical dilemmas in a large, complex organisation. A series of in-depth case studies show engineers at work on various stages of the project as they balance budgets, deadlines and risks. By documenting the historical development of a single system, the book provides a unique opportunity to explore the complex interactions between political, organisational and technical pressures and engineering and management decisions. (shrink)

In the context of the digital wave sweeping modern education, securing the information safety of ideological and political education in universities is of paramount importance. Based on the comprehensive risk mechanism, this paper deconstructs the connotation of information security of ideological and political education in higher education in the digital age, divides it into two categories: ideological risk and technical risk, and constructs the influence model of information security level of ideological and political education. Data were (...) collected via questionnaires and a structural equation model was used to test hypotheses, revealing the complex influences of key factors such as educational quality and sustainable development education, informatization teaching environment, campus digitalization level, and the impact on the quality of education. The study finds that the quality of political education in universities lays the foundation of solid information security, whereas network governance capability directly affects it. In contrast, the informatization teaching environment and campus digitalization level play positive mediating roles at different levels. (shrink)

Risk is the probability that within a certain time some expected negative event will take place. In medicine risk can be related to a decision or to some intrinsic factors which are associated with the probability of the occurrence of a disease. Decisions can be necessary in the individual life with respect to the question of visiting a physician or performing a certain diagnostic or therapeutic procedure. The introduction of new pharmaceutical or technical products into medical use (...) are another set of decisions which can generate certain risks. Intrinsic or inherent risk factors are a set of variables or signs and symptoms which indicate the presence of a certain probability that some disease or event, e.g., arteriosclerosis or sudden infant death syndrome, may occur. Risk is always related to judgement. In a decision process cost, effectiveness and profit can be used to estimate the magnitude of the risk to be taken. In a similar way the problems in connection with an inherent risk are primarily related to the recognition of the magnitude of risk and to the possibility of prophylactic measures.In our own area of research, the sudden infant death syndrome (SIDS) is an event where only risk factors can be observed. We point at two facts in this context: Highly complex patterns of symptoms like behaviour can better be classified by intuitive Gestalt perception. A medical procedure like induction of labour can itself become a risk factor. (shrink)

This article applies the concept of prudence to develop the characteristics of responsible risk-modeling practices in the insurance industry. A critical evaluation of the risk-modeling process suggests that ethical judgments are emergent rather than static, vague rather than clear, particular rather than universal, and still defensible according to the discipline’s established theory, which will support a range of judgments. Thus, positive moral guides for responsible behavior are of limited practical value. Instead, by being prudent, modelers can improve their (...) ability to deal with the ethical and technical complexity of the risk-modeling process. While the application of prudence to resolve ethical challenges in risk modeling, an issue of practical importance to managers, is a first in the literature, the practice of applying an ethical lens to issues of pragmatic importance for managers is well established in Maak and Pless (J Bus Ethics 66:99–115, 2006a ; Responsible leadership, 2006b ) among others. (shrink)

Reconstruying historically the beginning of development scientific thought in Venezuela, particularly in Physics, allow to account imperative need to preserve academic-scientific formation of Venezuelan society in 21st century. The Venezuelan historians Rafael Balza and Yajaira Freites in their respectively studies "Modern Physics in the Caraqueña Society of the late eighteenth century: between Mathematics and technique and "The problem of knowledge between hacendados and illustrated merchants of the province of Caracas-Venezuela (1793-1810)" allow to account efforts of Agustín de la Torre to (...) insert, in Venezuelan society of 18th century, teaching , research, divulgation and application of modern physical sciences initiated in Europe, marking the beginning of development of eighteenth-century Venezuelan technical and scientific thought. It should be noted that historical study of Agustín de la Torre is a complicated due to scarce documentation and cultural complexity of eighteenth-century Venezuela. The contribution of study is to account for risk of loss of Science in Venezuela in XXI century, through historical reconstruction around of Agustín de la Torre and his countless and tireless efforts to develop the study and application of physics experimental in Venezuela. The scope of this research is framed in the need to show the importance in the preservation of scientific talent. Studying the efforts in eighteenth-century Venezuela allows this. The historical study around Agustín de la Torre gives an account of the origin in the studies of physics and the complex situation within the scientific and social context to develop Science in Venezuela. (shrink)

Many authors have proposed constraining the behaviour of intelligent systems with ‘machine ethics’ to ensure positive social outcomes from the development of such systems. This paper critically analyses the prospects for machine ethics, identifying several inherent limitations. While machine ethics may increase the probability of ethical behaviour in some situations, it cannot guarantee it due to the nature of ethics, the computational limitations of computational agents and the complexity of the world. In addition, machine ethics, even if it were (...) to be ‘solved’ at a technical level, would be insufficient to ensure positive social outcomes from intelligent systems. (shrink)

Risk management is certainly one of the most important professional responsibilities of an engineer. As such, this activity needs to be combined with complex ethical reflections, and this requirement should therefore be explicitly integrated in engineering education. In this article, we analyse how this nexus between ethics and risk management is expressed in the engineering education research literature. It was done by reviewing 135 articles published between 1980 and March 1, 2016. These articles have been selected from 21 (...) major journals that specialize in engineering education, engineering ethics and ethics education. Our review suggests that risk management is mostly used as an anecdote or an example when addressing ethics issues in engineering education. Further, it is perceived as an ethical duty or requirement, achieved through rational and technical methods. However, a small number of publications do offer some critical analyses of ethics education in engineering and their implications for ethical risk and safety management. Therefore, we argue in this article that the link between risk management and ethics should be further developed in engineering education in order to promote the progressive change toward more socially and environmentally responsible engineering practices. Several research trends and issues are also identified and discussed in order to support the engineering education community in this project. (shrink)

Apart from its foray into technical issues of risk assessment and management, this book has one principal aim. With situations of chancy outcomes certain key factors—including outcome possibilities, overall expectation, threat, and even luck—are measurable parameters. But risk is something different: it is not measurable a single parametric quantity, but a many-sided factor that has several different components, and constitutes a complex phenomenon that must be assessed judgmentally in a highly contextualized way. This book explains and analyzes (...) how this works out in practice. Topics in this work include choice and risk, chance and likelihood, as well as outcome-yield evaluation and risk. It takes into account abnormal situations and eccentric measurements, situational evaluation and expectation and scrutinizes the social aspect of risk. The book is of interest to logicians, philosophers of mathematics, and researchers of risk assessment. The project is a companion piece to the author's LUCK THEORY, also published by Springer. (shrink)

Scientific developments take place in a socio-political context but scientists often ignore the ways their innovations will be both interpreted by the media and used by policy makers. In the rush to neuroscientific discovery important questions are overlooked, such as the ways: (1) the brain, environment and behavior are related; (2) biological changes are mediated by social organization; (3) institutional bias in the application of technical procedures ignores race, class and gender dimensions of society; (4) knowledge is used to (...) the advantage of the powerful; and (5) its applications may reinforce existing structures of power that pose ethical questions about distributive justice. The case of crime, deception and functional Magnetic Resonance Imaging (fMRI) shows the complexity, and the political and ethical challenges that confront those who seek to use neuroscience to explain the etiology of crime, and who base policy on its findings. An ethically grounded neuroscience needs to take account of existing structures of power and difference, and to develop a public neuropolitical consciousness that ensures that those subject to risk by the application of science and technology are participants in the decision-making processes involving the implementation of policies that affect them. (shrink)

What happens to professional and technical work when it is computerized? Exploratory analysis of case studies indicates that when expert systems are used to enhance the work of professionals, some tasks of medium- and low-skilled support personnel are integrated into the work of highly skilled experts. Technical workers are thus at risk of having their jobs automated as part of the computer enhancement of professionals. When computerization replaces expertise, job opportunities for medium-skilled personnel shrink and barriers to (...) upward mobility through on-the-job experience are reduced Entry-level professionals or even technicians with computers can perform tasks formerly done by experienced professionals. But working conditions do not promote the development of expertise and professional judgment among these workers. Thus it appears that routinization, deskilling, and automation are not only the problems of manual laborers in the information age; professional workers are also at risk, in complex ways. (shrink)

Artificial intelligence (AI) has sparked interest in various areas, including marketing. However, this exhilaration is being tempered by growing concerns about the moral and legal implications of using AI in marketing. Although previous research has revealed various ethical and legal issues, such as algorithmic discrimination and data privacy, there are no definitive answers. This paper aims to fill this gap by investigating AI’s ethical and legal concerns in marketing and suggesting feasible solutions.,The paper synthesises information from academic articles, industry reports, (...) case studies and legal documents through a thematic literature review. A qualitative analysis approach categorises and interprets ethical and legal challenges and proposes potential solutions.,The findings of this paper raise concerns about ethical and legal challenges related to AI in the marketing area. Ethical concerns related to discrimination, bias, manipulation, job displacement, absence of social interaction, cybersecurity, unintended consequences, environmental impact, privacy and legal issues such as consumer security, responsibility, liability, brand protection, competition law, agreements, data protection, consumer protection and intellectual property rights are discussed in the paper, and their potential solutions are discussed.,Notwithstanding the interesting insights gathered from this investigation of the ethical and legal consequences of AI in marketing, it is important to recognise the limits of this research. Initially, the focus of this study is confined to a review of the most important ethical and legal issues pertaining to AI in marketing. Additional possible repercussions, such as those associated with intellectual property, contracts and licencing, should be investigated more deeply in future studies. Despite the fact that this study gives various answers and best practices for tackling the stated ethical and legal concerns, the viability and efficacy of these solutions may differ depending on the context and industry. Thus, more research and case studies are required to evaluate the applicability and efficacy of these solutions in other circumstances. This research is mostly based on a literature review and may not represent the experiences or opinions of all stakeholders engaged in AI-powered marketing. Further study might involve interviews or surveys with marketing professionals, customers and other key stakeholders to offer a full knowledge of the practical difficulties and solutions. Because of the rapid speed of technical progress, AI’s ethical and regulatory ramifications in marketing are continually increasing. Consequently, this work should be a springboard for more research and continuing conversations on this subject.,This study’s findings have several practical implications for marketing professionals. Emphasising openness and explainability: Marketing professionals should prioritise transparency in their use of AI, ensuring that customers are fully informed about data collection and utilisation for targeted advertising. By promoting openness and explainability, marketers can foster customer trust and avoid the negative consequences of a lack of transparency. Establishing ethical guidelines: Marketing professionals need to develop ethical rules for the creation and implementation of AI-powered marketing strategies. Adhering to ethical principles ensures compliance with legal norms and aligns with the organisation’s values and ideals. Investing in bias detection tools and privacy-enhancing technology: To mitigate risks associated with AI in marketing, marketers should allocate resources to develop and implement bias detection tools and privacy-enhancing technology. These tools can identify and address biases in AI algorithms, safeguard consumer privacy and extract valuable insights from consumer data.,This study’s social implications emphasise the need for a comprehensive approach to address the ethical and legal challenges of AI in marketing. This includes adopting a responsible innovation framework, promoting ethical leadership, using ethical decision-making frameworks and conducting multidisciplinary research. By incorporating these approaches, marketers can navigate the complexities of AI in marketing responsibly, foster an ethical organisational culture, make informed ethical decisions and develop effective solutions. Such practices promote public trust, ensure equitable distribution of benefits and risk, and mitigate potential negative social consequences associated with AI in marketing.,To the best of the authors’ knowledge, this paper is among the first to explore potential solutions comprehensively. This paper provides a nuanced understanding of the challenges by using a multidisciplinary framework and synthesising various sources. It contributes valuable insights for academia and industry. (shrink)

Due to the inherent chaotic and fractal dynamics in the price series of Bitcoin, this paper proposes a two-stage Bitcoin price prediction model by combining the advantage of variational mode decomposition and technical analysis. VMD eliminates the noise signals and stochastic volatility in the price data by decomposing the data into variational mode functions, while technical analysis uses statistical trends obtained from past trading activity and price changes to construct technical indicators. The support vector regression accepts input (...) from a hybrid of technical indicators and reconstructed variational mode functions. The model is trained, validated, and tested in a period characterized by unprecedented economic turmoil due to the COVID-19 pandemic, allowing the evaluation of the model in the presence of the pandemic. The constructed hybrid model outperforms the single SVR model that uses only TI and rVMF as features. The ability to predict a minute intraday Bitcoin price has a huge propensity to reduce investors’ exposure to risk and provides better assurances of annualized returns. (shrink)

Heritable genome editing is officially here. ‘Lulu’ and ‘Nana’, born in China, are the first children whose genomes have been intentionally modified. A third gene edited baby may have already been born. Scientists in Russia are planning similar applications.1 We recently argued that HGE should be judged by the same ethical standards that we apply to other technologies.2 There is a moral imperative to improve the health of future generations, to reduce inequalities and improve standards of living. If we can (...) use HGE to achieve these aims, we should. We want to thank Sarah Chan, Peter Mills, Rachel Horton and Anneke Lucassen for their thoughtful criticisms of our paper. We would also like to thank the editors of the Journal of Medical Ethics for helping facilitate this detailed discussion. The moral questions posed by HGE, are complex, multifaceted and difficult. They required focused attention, which formats like this encourage. Our responses to each of the commentaries are detailed below We agree with the following points made in Horton and Lucassen’s paper ‘ The moral argument for heritable genome editing requires an inappropriately deterministic view of genetics ’.3 These are some of the reasons why we say HGE targeting polygenic diseases is likely decades away.2 The technical challenges seem daunting. But science can move quickly, and often does so in bounds. Our capacity to capture and analyse genetic data is rapidly expanding. Over the next 5 years, genomic …. (shrink)

This paper analyses the nature of the relationship between risk and responsibility. Since neither the concept of risk nor the concept of responsibility has an unequivocal definition, it is obvious that there is no single interpretation of their relationship. After introducing the different meanings of responsibility used in this paper, we analyse four conceptions of risk. This allows us to make their link with responsibility explicit and to determine if a shift in the connection between risk (...) and responsibility can be outlined. (1) In the engineer’s paradigm, the quantitative conception of risk does not include any concept of responsibility. Their relationship is indirect, the locus of responsibility being risk management. (2) In Mary Douglas’ cultural theory, risks are constructed through the responsibilities they engage. (3) Rayner and (4) Wolff go further by integrating forms of responsibility in the definition of risk itself. Analysis of these four frameworks shows that the concepts of risk and responsibility are increasingly intertwined. This tendency is reinforced by increasing public awareness and a call for the integration of a moral dimension in risk management. Therefore, we suggest that a form of virtue-responsibility should also be integrated in the concept of risk. (shrink)

A classification of the global catastrophic risks of AI is presented, along with a comprehensive list of previously identified risks. This classification allows the identification of several new risks. We show that at each level of AI’s intelligence power, separate types of possible catastrophes dominate. Our classification demonstrates that the field of AI risks is diverse, and includes many scenarios beyond the commonly discussed cases of a paperclip maximizer or robot-caused unemployment. Global catastrophic failure could happen at various levels of (...) AI development, namely, before it starts self-improvement, during its takeoff, when it uses various instruments to escape its initial confinement, or after it successfully takes over the world and starts to implement its goal system, which could be plainly unaligned, or feature-flawed friendliness. AI could also halt at later stages of its development either due to technical glitches or ontological problems. Overall, we identified around several dozen scenarios of AI-driven global catastrophe. The extent of this list illustrates that there is no one simple solution to the problem of AI safety, and that AI safety theory is complex and must be customized for each AI development level. (shrink)

Parents play a critical role in their child’s personal development and day-to-day experiences. However, as digital technologies are increasingly embedded in most New Zealand children’s everyday life activities parents face the task of ensuring their child’s online safety. To do so, they need to understand the way their child engages with and through these tools and make sense of the rapidly changing, and more technically complex, nature of digital devices. This presents a digital parenting dilemma: maximising children’s online opportunities while (...) minimising online risks and potential harm. This factsheet presents evidence about digital parenting in New Zealand based on nationally representative data collected from parents, caregivers and whānau and their children aged 9-17. It uses measures from the Global Kids Online project to explore the prevalence of different practices used by New Zealand parents to influence or mediate children’s internet use. (shrink)

College student entrepreneurship is a complex and dynamic process, in which the potential risks faced by entrepreneurial enterprises are interactive and diverse. The changes in risk assessment for college student entrepreneurship are also dynamic and nonlinear and are affected by many factors, which make the risk assessment process for college student entrepreneurship quite complicated. Big data analysis technology is a new product formed under the background of cloud computing and Internet technology, which has the characteristics of large data (...) scale, multiple data types, and strong data value and provides more technical support for the researches on the risk assessment algorithm for college student entrepreneurship. On the basis of summarizing and analyzing previous research results, this article expounded the research status and significance of the risk assessment algorithm for college student entrepreneurship, elaborated the development background, current status, and future challenges of big data analysis technology, introduced the basic principles of support vector machine and hierarchical analytic process, constructed a risk assessment model for college student entrepreneurship based on big data analysis, analyzed the risk factors and assessment indicators of the entrepreneurial model, proposed a risk assessment algorithm for college student entrepreneurship based on big data analysis, performed the discrimination coefficient calculation and comprehensive correlation optimization, and finally conducted a case experiment and its result analysis. The study results show that the risk assessment algorithm for college student entrepreneurship based on big data analysis can effectively realize the comprehensive management of risk factors, make full use of the value of assessment parameter data, and significantly improve the accuracy and efficiency of the risk assessment for college student entrepreneurship, providing more technical support for the researches on the risk assessment algorithm for college student entrepreneurship. The study results of this article provide a reference for further researches on the risk assessment algorithm of college student entrepreneurship based on big data analysis. (shrink)

Agricultural diversification in the Midwestern Corn Belt has the potential to improve socioeconomic and environmental outcomes by buffering farmers from environmental and economic shocks and improving soil, water, and air quality. However, complex barriers related to agricultural markets, individual behavior, social norms, and government policy constrain diversification in this region. This study examines farmer perspectives regarding the challenges and opportunities for both corn and soybean production and agricultural diversification strategies. We analyze data from 20 focus groups with 100 participants conducted (...) in Indiana, Illinois, and Iowa through a combined inductive and deductive approach, drawing upon interpretive grounded theory. Our results suggest that when identifying challenges and opportunities, participants center economics and market considerations, particularly income, productivity, and market access. These themes are emphasized both as benefits of the current corn-soybean system, as well as challenges for diversification. Additionally, logistical, resource and behavioral hurdles– including the comparative difficulty and time required to diversify, and constraints in accessing land, labor, and technical support– are emphasized by participants as key barriers to diversification. Agricultural policies shape these challenges, enhancing the comparative advantage and decreasing the risk of producing corn and soybeans as compared to diversified products. Meanwhile, alternative marketing arrangements, farmer networks, family relationships, and improved soil health are highlighted as important opportunities for diversification. We contextualize our findings within the theories of reasoned action and diffusion of innovation, and explore their implications for farmer engagement, markets, and agricultural policy, and the development of additional resources for business and technical support. (shrink)

Background The use of lengthy, detailed, and complex informed consent forms is of paramount concern in biomedical research as it may not truly promote the rights and interests of research participants. The extent of information in ICFs has been the subject of debates for decades; however, no clear guidance is given. Thus, the objective of this study was to determine the perspectives of research participants about the type and extent of information they need when they are invited to participate in (...) biomedical research. Methods This multi-center, cross-sectional, descriptive survey was conducted at 54 study sites in seven Asia-Pacific countries. A modified Likert-scale questionnaire was used to determine the importance of each element in the ICF among research participants of a biomedical study, with an anchored rating scale from 1 to 5. Results Of the 2484 questionnaires distributed, 2113 were returned. The majority of respondents considered most elements required in the ICF to be ‘moderately important’ to ‘very important’ for their decision making. Major foreseeable risk, direct benefit, and common adverse effects of the intervention were considered to be of most concerned elements in the ICF. Conclusions Research participants would like to be informed of the ICF elements required by ethical guidelines and regulations; however, the importance of each element varied, e.g., risk and benefit associated with research participants were considered to be more important than the general nature or technical details of research. Using a participant-oriented approach by providing more details of the participant-interested elements while avoiding unnecessarily lengthy details of other less important elements would enhance the quality of the ICF. (shrink)

Co-authored by a Computer Scientist and a Digital Humanist, this article examines the challenges faced by cultural heritage institutions in the digital age, which have led to the closure of the vast majority of born-digital archival collections. It focuses particularly on cultural organizations such as libraries, museums and archives, used by historians, literary scholars and other Humanities scholars. Most born-digital records held by cultural organizations are inaccessible due to privacy, copyright, commercial and technical issues. Even when born-digital data are (...) publicly available, users often need to physically travel to repositories such as the British Library or the Bibliothèque Nationale de France to consult web pages. Provided with enough sample data from which to learn and train their models, AI, and more specifically machine learning algorithms, offer the opportunity to improve and ease the access to digital archives by learning to perform complex human tasks. These vary from providing intelligent support for searching the archives to automate tedious and time-consuming tasks. In this article, we focus on sensitivity review as a practical solution to unlock digital archives that would allow archival institutions to make non-sensitive information available. This promise to make archives more accessible does not come free of warnings for potential pitfalls and risks: inherent errors, "black box" approaches that make the algorithm inscrutable, and risks related to bias, fake, or partial information. Our central argument is that AI can deliver its promise to make digital archival collections more accessible, but it also creates new challenges - particularly in terms of ethics. In the conclusion, we insist on the importance of fairness, accountability and transparency in the process of making digital archives more accessible. (shrink)

Digitalization has become a cornerstone of competitiveness in the industrial arena, especially in the cases of small lot sizes with many variants in the goods produced. Managers of industrial facilities have to handle the complexity that comes along with Industry 4.0 in diverse dimensions to leverage the potentials of digitalization for their sites. This article describes major drivers of this complexity in current industrial automation to outline the environment of today’s challenges for managers of this technical transition—and (...) shows how managed industrial security services can contribute to stabilize the industrial system. An outlook is given to future automation scenarios as well as the major concepts involved in their protection. (shrink)

This perspective paper critically examines value-laden challenges that emerge when using standards to support regulation in the field of artificial intelligence, particularly within the context of the AI Act. It presents a dilemma arising from the inherent vagueness and contestable nature of the AI Act’s requirements. The effective implementation of these requirements necessitates addressing hard normative questions that involve complex value judgments. These questions, such as determining the acceptability of risks or the appropriateness of accuracy levels, need to be addressed (...) in order to achieve compliance with the AI Act. However, this creates a dilemma: either the hard normative questions left open by the AI Act are addressed by the standards or they are addressed by the actors involved in the conformity assessment. This paper argues that the latter approach is more likely. Consequently, regulatory intermediaries such as notified bodies will be responsible for making critical value judgments while evaluating compliance with the AI Act’s value-laden requirements. This shift raises a series of concerns and implications that warrant further exploration. (shrink)

The pace of technological change continues to outstrip the evolution of democratic institutions, creating an urgent need for innovative approaches to democratic reform. However, the experimentation bottleneck - characterized by slow speed, high costs, limited scalability, and ethical risks - has long hindered progress in democracy research. This paper proposes a novel solution: employing generative artificial intelligence (GenAI) to create synthetic data through the simulation of digital homunculi, GenAI-powered entities designed to mimic human behavior in social contexts. By enabling rapid, (...) low-risk experimentation with alternative institutional designs, this approach could significantly accelerate democratic innovation. I examine the potential of GenAI-assisted research to mitigate current limitations in democratic experimentation, including the ability to simulate large-scale societal interactions and test complex institutional mechanisms. While acknowledging potential risks such as algorithmic bias, reproducibility challenges, and AI alignment issues, I argue that the benefits of synthetic data are likely to outweigh their drawbacks if implemented with proper caution. To address existing challenges, I propose a range of technical, methodological, and institutional adaptations. The paper concludes with a call for interdisciplinary collaboration in the development and implementation of GenAI-assisted methods in democracy research, highlighting their potential to bridge the gap between democratic theory and practice in an era of rapid technological change. (shrink)

Explanations are conceived to ensure the trustworthiness of AI systems. Yet, relying solemnly on algorithmic solutions, as provided by explainable artificial intelligence (XAI), might fall short to account for sociotechnical risks jeopardizing their factuality and informativeness. To mitigate these risks, we delve into the complex landscape of ethical risks surrounding XAI systems and their generated explanations. By employing a literature review combined with rigorous thematic analysis, we uncover a diverse array of technical risks tied to the robustness, fairness, and (...) evaluation of XAI systems. Furthermore, we address a broader range of contextual risks jeopardizing their security, accountability, reception alongside other cognitive, social, and ethical concerns of explanations. We advance a multi-layered risk assessment framework, where each layer advances strategies for practical intervention, management, and documentation of XAI systems within organizations. Recognizing the theoretical nature of the framework advanced, we discuss it in a conceptual case study. For the XAI community, our multifaceted investigation represents a path to practically address XAI risks while enriching our understanding of the ethical ramifications of incorporating XAI in decision-making processes. (shrink)

This paper discusses two paradigms of risk communication that guide strategies for communicating food safety issues. Built on the principles of social utility and paternalism, the first paradigm heavily relies on science and technical experts to determine food safety regulations and policies. Risk communication, in this context, is a unidirectional process by which experts from the industry or government regulatory agencies inform or alert potentially affected publics about the hazards they face and the protective actions they can (...) take. However, public trust and confidence in government and industry have considerably declined. Experts are being questioned about the objectivity of their assessments of risks. Policy makers are being challenged on such risk management decisions as tolerance guidelines, food labeling laws, and emergency warning systems. Concomitantly, some segments of the public, especially consumer advocates and environmental groups, are demanding increased input into the decision making process as they call for the recognition of lay perceptions and interpretations of risk as a legitimate counterpart to technically-assessed risk. Hence, instead of the linear, persuasion-oriented communication process, there are evolving efforts to shape risk communication into a more dialogical, interactive, and democratic exchange of information among different stakeholders (i.e., technical experts, government policy makers, industry, interest groups, and the general public). Reflecting a more Jeffersonian approach, this second paradigm argues that decisions about food safety are so complex and multi-dimensional that they must not be left to experts alone.However, both paradigms present ethical dilemmas. Determining the risks and relative safety of foods is not a totally objective and concise process. Since it involves social, economic, political, and personal values, how can the public not be involved in the exchange of ideas and information concerning food risks and safety? On the other hand, can we afford to let public opinion govern decisions pertaining to food risks and safety without consideration for the merits of scientific risk assessment? This paper raises questions regarding some assumptions of these two risk communication paradigms, and explores and discusses some of the salient ethical questions inherent in each framework. (shrink)

‘Narrativity and Hermeneutics’ is not an obvious subject to mark the fifth anniversary of a centre devoted to applied ethics. Narrative tradition and the interpretation of texts are not the main concern of handbooks on biomedical ethics, engineering ethics, business ethics or ecological ethics. The reasons are evident; most practitioners of applied ethics see their area of research as a functionally differentiated discipline, a carefully circumscribed field wherein only specialists are competent. In their textbooks they adopt the view of ethical (...) expertise as defended by Theo van Willingenburg in his noteworthy thesis Inside the Ethical Expert. According to this view, practitioners of applied ethics are experts possessing a body of specialized knowledge and skill within a given domain acquired through a substantial amount of study and training. Besides being able to clarify problems and analyze concepts and arguments, they are, as experts, also able to apply specific skills of moral reasoning to reach a substantiated evaluation of values and norms, with the ultimate purpose of offering suitable ethical advice.The acquisition of a certain amount of expertise is doubtless important. The practice of applied ethics is more than probing for a good moral intention. They primarily pursue the right moral choice, i.e. the action that in a given, often complex situation, is objectively suitable to express a good moral intention. A right moral choice is impossible without a thorough clarification of the complex reality about which a moral judgment must be made.Yet emphasizing ethical expertise does not say everything. Is it correct to position ethicists as experts parallel to the medical, economic or technical experts with whom they deal? Does applied ethics, because of its functionally differentiated approach, not run the risk of either reducing itself to a professional deontology with a limited view of responsibility or enclosing itself with other experts in an iron cage of technocratic, bureaucratic or instrumental rationality? When forming an ethical judgment, is it possible to exclude completely all influence arising from personal convictions? (shrink)

The contribution of food and diet to health is much disputed in the background culture in the US. Many commercial or ideological advocates make claims, sometimes with health as a primary goal, but often accompanied by commercial or ideological interests. These compete culturally with authoritative recommendations made by publicly funded groups. For public policy concerning diet and health to be legitimate, not only should it not be inconsistent with the scientific evidence, but also it should not be inconsistent with the (...) political environment. Healthy Eating Policy and Political Philosophy (HEPPP), by Barnhill and Bonotti (2022), addresses how policy in this complex area might be justified. In the present essay I highlight some important strengths of their work and also make some points about how it might be clarified or enlarged in scope. The great strength of HEPPP is that it emphasizes the role of a political philosophy in evaluating the legitimacy of public policy. They presume a well-off liberal democratic state, and specifically they draw on Rawls’ political liberalism, as developed in Political Liberalism (PL). One of several interlocking technical concepts developed in this book, public reason speaks to the boundaries of what should be acceptable in public deliberation about constitutional essentials and basic justice. HEPPP explores the application of an extension of public reason to the justification of policies related to “healthy eating.“ Public reason has two components, both of which pertain to a common understanding among citizens: (1) a common understanding of the principles and ideals that are the foundation of the political society, and (2) a common understanding of the standards that govern reason and evidence, including common sense. HEPPP argues that even though for diet and health the complexity of the scientific evidence goes far beyond anything like common sense for a typical citizen, the technical idea of “accessibility” of the scientific evidence justifies reliance on it within the concept of public reason. I question this accessibility argument about scientific evidence and public reason because the nature of the population-level epidemiological evidence about diet and health is that it often includes judgments that are based on arguable interpretations, framing incidence in terms of risk and prevention; thus the issue is more than one of potential accessibility of scientific evidence. Nevertheless, evaluation and consideration of the scientific evidence is of obvious practical importance in policy deliberation concerning policy related to what Rawls call “ordinary legislation.“ Even though public reason applied to healthy eating policy may not be as pertinent as it is for constitutional essentials and basic justice, and even though it is unlikely to result in a “correct outcome,“ invoking reasons based on political values and principles held in common has important value even in these deliberations about more ordinary questions. That value applies not to the specifics of the particular issue, but to the larger context for the particular policy being deliberated, as a potential contribution to an overlapping consensus that is stable for the right reasons. If this vision of political liberalism were achieved, then contentious debate about health eating policy and its scientific basis could occur within that context and be resolved within the basic political structure. Because public health and political liberalism have a common concern for a good at the population level, they have an underlying affinity. Healthy eating policies could be evaluated in two not-unrelated ways: based on their instrumental contribution to the good of the public body of citizens as population-level health, and according to their stabilizing contribution to an overlapping consensus among citizens. In this latter way a policy would contribute to a conditional integral common good a la Sulmasy, one that has the prospect of conditioning a political system, and by doing so create the conditions of the possibility of a constitutive integral common good that is constituted on the right reasons for allegiance to an overlapping consensus. To conclude with reference to HEPPP, public reason may play an important function with respect to the political common good, even as debates about the weight and meaning of scientific evidence from epidemiology play out in deliberation of ordinary legislation concerning healthy eating. (shrink)

Because complex environmental problems are relegated to scientific experts, the ethical questions that are embedded in these problems are often hidden or distorted in scientific and administrative methodology and communication. The administrative process requires that facts and values be separated. Those values that cannot simply be ignored are usually translated into technical economic language and settled in terms of economic costs and benefits. Calls for regulatory reform-i.e., to reduce or eliminate environmental regulation--create additional pressures on analysts that encourage them (...) to focus on quantitative questions at the expense of qualitative ones. Distortion can also result from the use of standard risk assessment procedures and from the improper placement of burden of proof on govemment agencies. The greatest problem, nevertheless, is the narrow scientific training of technical experts which frequently leaves them unprepared to deal with the ethical and value issues in environmental public policy. (shrink)

In recent years leading figures in a variety of fields - political, financial, medical, and organizational - have become acutely aware of the need to effectively incorporate aspects of risk into their decision-making. This book addresses a wide range of contemporary issues in decision research, such as how individuals deal with uncertainty and complexity, gender-based differences in decision-making, what determines decision performance and why people choose risky activities. The book presents results from academic research carried out over the (...) last twenty years. A common theme is the study of decisions made in horserace betting markets, a research medium which offers a rich insight into decision-making in general and one which enjoys particular methodological advantages over laboratory-based simulations. This set of naturalistic studies explores the variety of individual motivations for betting, how people perceive and respond to the presence of uncertainty, the challenges of complex and turbulent information and the use of heuristics as a response, how decision-making performance is affected by structural or process-related features of the decision environment, and how men and women differ in their decision behaviour. The authors’ interesting and novel findings offer a richer understanding of the psychological and economic underpinnings of betting behaviour which should inform practitioners, policymakers and regulators in an industry which is undergoing unprecedented global growth. The book is also relevant to courses covering subject areas such as financial markets, decision-making and behavioural finance. (shrink)

An extended analysis compared to observations shows that modern “globalised” world civilisation has passed through the invisible “complexity threshold”, after which usual “spontaneous”, empirically driven kind of development (“invisible hand” etc.) cannot continue any more without major destructive tendencies. A much deeper, non-simplified understanding of real interaction complexity is necessary in order to cope with such globalised world development problems. Here we introduce the universal definition, fundamental origin, and dynamic equations for a major related quantity of (systemic) (...) class='Hi'>risk characterising real complex system development tendencies at any level of dynamics. Practically important conclusions are derived, opening further detailed applications in economy, finance and development practice. (shrink)

Kwaku Marfo, Danielle Garcia, Saira Khalique, Karen Berger, Amy LuMontefiore Medical Center, Bronx, NY, USABackground: Medication errors are a prime concern for all in healthcare. As such the use of information technologies in drug prescribing and administration has received considerable attention in recent years, with the hope of improving patient safety. Because of the complexity of drug regimens in renal transplant patients, occurrence of medication errors is inevitable even with a well adopted computerized physician order entering system. Our objective (...) was to quantify medication error type and frequency in an inpatient renal transplant unit.Methods: Systemic evaluation of all medication errors during an initial 10-day audit and a 28-day follow-up audit in an inpatient renal transplant unit. Each error was concurrently evaluated for potential to result in adverse patient consequences, error type and associated medication class.Results: A total of 103 clinically significant medication errors were detected during the 10-day and 28-day audit time periods. The most common errors were wrong medication dose ordered and wrong time of drug administration. Thirty-six out of 66 prescribing/ordering errors reached the patient.Conclusions: Even with utilization of computerized physician order entry system in an inpatient renal transplant unit, post-kidney transplant patients are at risk for adverse outcomes due to medication errors. The risk factors may be multifactorial and will require both organizational and technical approaches to resolve.Keywords: medication errors, CPOE, inpatient, renal transplant patients. (shrink)

Background Metaphors are central to the human understanding of complex issues; through the immediate associations they evoke and frame problems and suggest solutions. Our suggestion of Music in the Park as a metaphor for health systems reform brings to the forefront the environmentally diverse but bounded spaces of health services that offer a variety of attractors within their confines, while pushing into the background organizational and economic concerns.Reflections Parks, like health services, are embedded in their local landscape, serving their communities, (...) but most importantly parks are public spaces, publically funded, ideally offering universal access and equity and to be shared by all who want to go there.Music, like health, is tangible, technical and scientific, yet ultimately experiential and based on meaning. While it encompasses a wide range of styles and approaches, music making requires as its most important skill active listening which brings with it to be ‘in the moment’, to take personal risks and to draw energy and inspiration from the participants. Hence ‘audiences’ are equally active participants because music only has meaning if it internally resonates with the listener and only can exist in what is a co-constructed experience.Conclusions Music in the Park is a metaphor for primary health care systems based on shared values of experts and unique local communities. Health professionals are players in this arena, who develop and practise the full range of their skills in response to individual and community needs and preferences. Their leadership works through inspiration and empowerment, making patients ‘co-producers’ of their own health and ‘co-shapers’ of their health services. (shrink)

Widespread commercial use of the internet has significantly increased the volume and scope of data being collected by organisations. ‘Big data’ has emerged as a term to encapsulate both the technical and commercial aspects of this growing data collection activity. To date, much of the discussion of big data has centred upon its transformational potential for innovation and efficiency, yet there has been less reflection on its wider implications beyond commercial value creation. This paper builds upon normal accident theory (...) to analyse the broader ethical implications of big data. It argues that the strategies behind big data require organisational systems that leave them vulnerable to normal accidents, that is to say some form of accident or disaster that is both unanticipated and inevitable. Whilst NAT has previously focused on the consequences of physical accidents, this paper suggests a new form of system accident that we label data accidents. These have distinct, less tangible and more complex characteristics and raise significant questions over the role of individual privacy in a ‘data society’. The paper concludes by considering the ways in which the risks of such data accidents might be managed or mitigated. (shrink)

Through a comparison between phenomenology and quantum physics, the paper aims to show that naturalising phenomenology can also mean bringing it into a critical and fruitful relationship with some of the most complex and fundamental questions of contemporary physics, thus showing both the truly ever-open potential of Husserlian and Heideggerian thinking and the need for the sciences to receive a theoretical light without which they risk remaining either magical, arbitrary and esoteric knowledge or technical, reductionist and epistemologically sterile.

Technology corporations and the emerging digital health market are exerting increasing influence over the public healthcare agendas forming around the application of mobile medical devices. By promising quick and cost-effective technological solutions to complex healthcare problems, they are attracting the interest of funders, researchers, and policymakers. They are also shaping the public facing discourse, advancing an overwhelmingly positive narrative predicting the benefits of wearable medical devices to include personalised medicine, improved efficiency and quality of care, the empowering of under-resourced communities, (...) and delivery of health services previously unavailable to the citizens of developing countries. Typically techno-optimist in their description, the key barriers to this impending inflection point in healthcare are identified as technical issues such as short battery life and a lack of data protection. However, this tech innovation narrative is consistent with problematic ethical, social, and political assumptions that have practical and normative effects, and risk, one, undermining the real clinical potential of wearable devices and, two, designing social inequality and injustice into our mobile health interventions in global healthcare. I argue that the foundational assumptions dealing with the just distribution of healthcare ‘goods’, the individual as part of society, and the political framing of future healthcare policy devalue equity and despite what they promise cannot meet the distinctive needs of individuals and groups that do not conform to a standardised concept of care-receiver. (shrink)

Trust constitutes a fundamental strategy to deal with risks and uncertainty in complex societies. In line with the vast literature stressing the importance of trust in doctor–patient relationships, trust is therefore regularly suggested as a way of dealing with the risks of medical artificial intelligence (AI). Yet, this approach has come under charge from different angles. At least two lines of thought can be distinguished: (1) that trusting AI is conceptually confused, that is, that we cannot trust AI; and (2) (...) that it is also dangerous, that is, that we should not trust AI—particularly if the stakes are as high as they routinely are in medicine. In this paper, we aim to defend a notion of trust in the context of medical AI against both charges. To do so, we highlight the technically mediated intentions manifest in AI systems, rendering trust a conceptually plausible stance for dealing with them. Based on literature from human–robot interactions, psychology and sociology, we then propose a novel model to analyse notions of trust, distinguishing between three aspects: reliability, competence, and intentions. We discuss each aspect and make suggestions regarding how medical AI may become worthy of our trust. (shrink)

The global public health threat posed by infectious disease is well recognised. The obligation to treat whilst exposed to risk, and its limits, is debated with each novel serious and communicable pathogen. Within national jurisdictions, different responses are forthcoming. Some, like France in 2009, give government the power to require healthcare staff to work, and even to requisition staff, including retired professionals. Others rely on notions of solidarity and professional duty, with scope for individual discretion. Our research with staff (...) in the West Midlands in 2008/2009– including non-professionals – suggested a strong correlation between feeling a duty to work and willingness to work during a pandemic. This was more influential than removing other barriers to working. Medical military personnel can already be ordered into risky situations. Our research in 2015/16 with those who worked in the Ebola treatment unit in Sierra Leone suggested that their concerns about risk were complex: the perceived magnitude of the risk was only one factor, even though tolerance was high. The type of risk and circumstances requiring that risk to be taken were also influential.Against this background, it will be argued, with caveats, that:military medical personnel should be willing to accept greater risk than civilian medical staff;and that to maintain national health services during a communicable disease emergency:civilian medical staff ought to accept greater risks than they currently appear willing to tolerate;conscription – from civilian or military populations – is permissible, even though it may elevate personal risk. (shrink)

The article examines the situation associated with the spread of social networks, which brought not only new communication opportunities, but also the risks of blurring the boundaries between privacy and publicity. People voluntarily share personal data in exchange for public acceptance. This information is recorded and studied by various government and commercial institutions. The danger to information privacy as a right to control access to personal information is aggravated by the peculiarities of online communication, which is characterized by “context collapse”: (...) the merging of different audiences with different norms and values. Content posted on social media is searchable beyond a specific point in time and situation. If offline communication involves a foreseeable number of interlocutors, there is an “invisible audience” on social networks, which leads to information asymmetry. However, despite the fact that most users are aware of the potential dangers of privacy breaches, they share personal information on social networks. This phenomenon is called the privacy paradox. The reasons for this behavior are a lack of technical and social skills, a reluctance to spend time and energy on measures to minimize risks, a desire to have wide social connections and skepticism about the effectiveness of the efforts being made. The behavior of users on social networks is influenced primarily by factors such as age and education. The most concerned about the preservation of privacy are young people and middle-aged people, as they have to manage the most complex social relations. (shrink)

Composed of scientific and technical experts and lay members, thousands of research ethics committees—Institutional Review Boards in the United States—must identify and assess the potential risks to human research subjects, and balance those risks against the potential benefits of the research. IRBs handle risk and its uncertainty by adopting a version of the precautionary principle. To assess scientific merit, IRBs use a tacit ``sanguinity principle,'' which treats uncertainty as inevitable, even desirable, in scientific progress. In balancing human subjects (...) risks and scientific benefits, IRBs use uncertainty as a boundary-ordering device that allows the mediation of the science and ethics aspects of their decisions. One effect is the entangling of methodological and ethical review. Some have suggested these should be more clearly separated, but decisions by research ethics committees depend in part on the negotiating space created by incommensurable approaches to uncertainty. (shrink)

This text discusses aspects of Human-Machine Interaction from the perspectives of an engineer and a philosopher. Machines are viewed not so much as tools, but more as complex socio-technical systems. On this basis, the relation between production and use of such systems and its influence on the interaction between human and machine is examined. The concept of intentionality serves as a common thread, and its close connection with the concepts of usefulness, purpose, and functionality as well as the more (...) socio-culturally shaped concept of destination is shown. We also discuss the connection of these considerations to current philosophical debates around Floridi’s “Onlife Manifesto”. The core of our argumentation is the significance of the unintended in the interplay between justified expectations, the intended, and experienced results of real-world cooperative action. We extend the meaning of this term up to the negatively intended as harmful effect in order to highlight the prominent position of problem solving in the socio-cultural development of humankind. We focus on information processes in that Human-Machine Interaction and the concept of unintended information. With the advancing digital transformation and the growing possibilities of digital monitoring, the importance of information processes as forms of description is growing, too. We show how the concept of non-intended information is linked to such concepts of control of development, in which the non-intended is marginalised and thus an essential driver of socio-cultural development is deactivated. We compare this with Floridi’s reflections on “fears and risks in a hyperconnected era”. (shrink)

Increasingly complex and autonomous systems require machine ethics to maximize the benefits and minimize the risks to society arising from the new technology. It is challenging to decide which type of ethical theory to employ and how to implement it effectively. This survey provides a threefold contribution. First, it introduces a trimorphic taxonomy to analyze machine ethics implementations with respect to their object (ethical theories), as well as their nontechnical and technical aspects. Second, an exhaustive selection and description of (...) relevant works is presented. Third, applying the new taxonomy to the selected works, dominant research patterns, and lessons for the field are identified, and future directions for research are suggested. (shrink)