Ape species-specific communication is grounded on the present, possesses some referential qualities and is mostly used to request objects or actions from others. Artificial systems of communication borrowed from humans transform apes' communicative exchanges by freeing them from the present (i.e. displaced reference) although requests still predominate as the main reason for communicating with others. Symbol use appears to enhance apes' relational abilities and their inhibitory control. Despite these substantial changes, it is concluded that even though (...) class='Hi'>artificial communication enhances thought and enables its expression more openly, it does not create it or modify the motivation behind communicative exchanges. (shrink)

이 글의 목적은 딥러닝 알고리즘의 발전으로 인한 ‘문제’를 제대로 설정하는 것이다. 딥러닝의 놀라운 성과로 인해 인공 지능에 대한 대중적 관심이 높아지면서 알고리즘의 지적 ‘능력’으로 인한 ‘지배’의 문제가 관심을 모으고 있다. 이 글은 이러한 인공 ‘지능’의 문제와 ‘지배’의 문제가 현재의 문제가 아니라는 진단, 그리고 인공 ‘감정’으로 문제의 중심을 이동시키자는 제안도 적절치 않다는 판단에서 출발한다. 현재의 문제는 인간 지능과는 매우 이질적인 방식으로 일함에도 소통에 직접 영향을 미치는 기계 지능과의 ‘관계’ 문제이다. 이 관계 문제를 다루기에 적합한 개념은 기계와의 단순한 상호작용을 넘어서는 언어적 관계를 (...) 다룰 수 있는 개념이자 상대의 마음 속 내용과 무관하게 성립하는 ‘소통’ 개념이다. 에스포지토는 이중의 우연성에 따른 정보, 통지, 이해의 세 가지 선택으로 하나의 소통 단위를 규정하는 루만의 소통 개념을 참조해 ‘인공 소통’의 문제를 제시하였다. 그는 사용자와 알고리즘의 상호작용에서 사용자 자신의 관점의 이중화를 통해 일어나는 가상 우연성이 이중의 우연성을 가능하게 한다고 본다. 필자는 현재의 문제가 인공 소통의 문제로 설정되는 것에 동의하면서도, 에스포지토가 소통과 행위의 관계와 귀속 문제를 다루지 않는다는 점에 주목한다. 알고리즘에 대한 행위 귀속이 이루어지지 않는 현재의 상황에서 인공소통의 사회적 영향은 제한적이다. 그래서 인공 소통의 문제를 잘 풀기 위해서는 귀속의 문제를 다루어야 한다. (shrink)

Theoretical and Applied Issues Edited by Andrew Ortony Jon Slack Oliviero Stock NATO ASI Series Series F: Computer and Systems Sciences, Vol. 100 Communication from an Artificial Intelligence Perspective NATO ASI Series Advanced ...

Future developments in artificial intelligence (AI) will likely allow for a greater degree of human‐machine convergence, with machines becoming more humanlike and intelligent machinery becoming more integrated into human brain function. This will pose many ethical challenges, and the necessity for a moral framework for evaluating these challenges will grow. This paper argues that community concern constitutes a central factor in both the evolution of religion and the human brain, and as such it should be used as the organizing (...) principle for moral evaluations of AI technologies. (shrink)

The aim of this article is, on the one hand, to take up and discuss some key categories and concepts in semiotics, in an attempt to analyze the mechanisms underlying current artificial intelligence (AI) models, with a focus on ChatGPT. Although many of these concepts are already being debated, they remain crucial in relation to semiotic and sociosemiotic categories. Concepts such as generativity, perception, textuality, and the effects of meaning, as well as the notion of language itself, require a (...) new semiotic evaluation, including in relation to a cultural history of AI, and the metaphors associated with it. In addition, this article aims to propose more of a general observation and review of some theoretical problems and sociosemiotic issues related to the advent of AIs with some correlated examples, such as in the field of political communication and conflict. (shrink)

Este artículo explora la integración de la IA en la comunicación académica para mejorar las capacidades cognitivas humanas. La concepción de la comunicación hombre-máquina (CMM), que considera las tecnologías basadas en la IA no como objetos interactivos, sino como sujetos comunicativos, plantea cuestiones más filosóficas en la comunicación académica. Es un hecho conocido que existe una mayor interacción entre los humanos y las máquinas, especialmente consolidada por la pandemia COVID-19, que intensificó el desarrollo del Sistema de Aprendizaje Adaptativo Individual, por (...) lo que necesariamente se requieren aportaciones de las IN para fortalecer la IA. Esto posicionó a la universidad en la yuxtaposición de asegurar la producción de individuos altamente talentosos que puedan continuar pensando más allá de lo pensable inteligentemente y permitir a los expertos en IA continuar construyendo algoritmos que puedan llevar el desarrollo de la tecnología al siguiente nivel. Para llevar a cabo tal tarea, la producción investigadora es primordial para conectar la universidad y la industria editorial. Este artículo examina de forma crítica componentes importantes e intenta hacer justicia a la emanación de preguntas críticas de los investigadores (NI), alimentando así el desarrollo de la tecnología (IA). (shrink)

Artificial intelligence (AI) based clinical decision support systems (CDSS) are becoming ever more widespread in healthcare and could play an important role in diagnostic and treatment processes. For this reason, AI‐based CDSS has an impact on the doctor–patient relationship, shaping their decisions with its suggestions. We may be on the verge of a paradigm shift, where the doctor–patient relationship is no longer a dual relationship, but a triad. This paper analyses the role of AI‐based CDSS for shared decision‐making to (...) better comprehend its promises and associated ethical issues. Moreover, it investigates how certain AI implementations may instead foster the inappropriate paradigm of paternalism. Understanding how AI relates to doctors and influences doctor–patient communication is essential to promote more ethical medical practice. Both doctors' and patients' autonomy need to be considered in the light of AI. (shrink)

We describe a novel Internet-based method for building consensus and clarifying con icts in large stakeholder groups facing complex issues, and we use the method to survey and map the scienti c and organizational perspectives of the arti cial life community during the Seventh International Conference on Arti cial Life (summer 2000). The issues addressed in this survey included arti cial life’s main successes, main failures, main open scienti c questions, and main strategies for the future, as well as the (...) bene ts and pitfalls of creating a professional society for arti cial life. By illuminating the arti cial life community’s collective perspective on these issues, this survey illustrates the value of such methods of harnessing the collective intelligence of large stakeholder groups. (shrink)

This article draws on the sociology of expectations to examine the construction of expectations of ‘ethical AI’ and considers the implications of these expectations for communication governance. We first analyse a range of public documents to identify the key actors, mechanisms and issues which structure societal expectations around artificial intelligence and an emerging discourse on ethics. We then explore expectations of AI and ethics through a survey of members of the public. Finally, we discuss the implications of our (...) findings for the role of AI in communication governance. We find that, despite societal expectations that we can design ethical AI, and public expectations that developers and governments should share responsibility for the outcomes of AI use, there is a significant divergence between these expectations and the ways in which AI technologies are currently used and governed in large scale communication systems. We conclude that discourses of ‘ethical AI’ are generically performative, but to become more effective we need to acknowledge the limitations of contemporary AI and the requirement for extensive human labour to meet the challenges of communication governance. An effective ethics of AI requires domain appropriate AI tools, updated professional practices, dignified places of work and robust regulatory and accountability frameworks. (shrink)

This essay introduces a special issue of the BJHS on communities of natural knowledge and artificial practice in seventeenth- and eighteenth-century London. In seeking to understand the rise of a learned and technical culture within a growing and changing city, our approach has been inclusive in terms of the activities, people and places we consider worth exploring but shaped by a sense of the importance of collective activity, training, storage of information and identity. London's knowledge culture was formed by (...) the public, pragmatic and commercial spaces of the city rather than by the academy or the court. In this introduction, we outline the types of group and institution within our view and acknowledge the many locations that might be explored further. Above all, we introduce a particular vision of London's potential as a city of knowledge and practice, arising from its commercial and mercantile activity and fostered within its range of corporations, institutions and associations. This was recognized and promoted by contemporary authors, including natural and experimental philosophers, practical mathematicians, artisans and others, who sought to establish a place for and recognition of their individual and collective skills and knowledge within the metropolis. (shrink)

Human beings express affinity (Shinwa‐kan in Japanese language) in communicating transactive engagements among healthcare providers, patients and healthcare robots. The appearance of healthcare robots and their language capabilities often feature characteristic and appropriate compassionate dialogical functions in human–robot interactions. Elements of healthcare robot configurations comprising its physiognomy and communication properties are founded on the positivist philosophical perspective of being the summation of composite parts, thereby mimicking human persons. This article reviews Mori's theory of the Uncanny Valley and its consequent (...) debates, and examines "Uncanny" relations with generating healthcare robot conversational content with artificial affective communication (AAC) using natural language processing. With healthcare robots provoking influential physical composition and sensory expressions, the relations in human–healthcare robot transactive engagements are argued as supportive of the design and development in natural language processing. This implies that maintaining human–healthcare robot interaction and assessing the eeriness situations explained in the Uncanny Valley theory are crucial positions for healthcare robot functioning as a valuable commodity in health care. As such, physical features, language capabilities and mobility of healthcare robots establish the primacy of the AAC with natural language processing as integral to healthcare robot–human healthcare practice. (shrink)

This article examines the problem of the specificity and functions of mental control from two main perspectives: (1) from the standpoint of natural scientific explanation; (2) within a socio-psychological and socio-humanitarian context. The first approach employs an information-based framework to address the question of how phenomena of subjective reality can serve as causes of physical changes. The distinction between informational and physical causality is elucidated, providing a justification for psychic (mental) causality as a form of informational causality. Within this context, (...) the article discusses issues of information encoding and decoding, recent advances in neuroscience regarding the deciphering of brain codes for mental phenomena, and pertinent results from genomics. The author explores the significance of these developments for substantiating free will and self-determination processes, as well as for developing new artificial intelligence systems capable of emulating natural intelligence functions. Building upon these foundations, the second aspect of the discussion examines the role of mental control in interpersonal and mass communications, as well as in the functioning of institutional entities. To this end, the article investigates the relationships between individual consciousness and mass, institutional consciousness, the importance of national leadership in extreme situations, the phenomenon of polysubjectivity, and related questions concerning the optimal balance between centralization and autonomization of control mechanisms. The author demonstrates the inevitability of overcoming the principle of monopolarity, which inhibits autonomization functions and thereby undermines the foundations of global social self-organization. Finally, the article briefly addresses a number of salient issues pertaining to the meaning, objectives, and outcomes of mental control acts, as well as their socio-humanitarian implications and evaluation. (shrink)

The traditional evaluation methods of foreign language communication skills cannot deal with emotional information in the process of communication. Psychologists believe that a real personalized evaluation system should be smart. Based on the emotion network technology of artificial emotion intelligence, aiming at the shortcomings of the traditional evaluation system, this paper puts forward a new language ability evaluation system with certain emotion judgment function. The system can easily obtain and identify emotions in foreign communication, and can (...) also carry out individual learning at the cognitive and emotional levels on the basis of comprehensive analysis of emotions and communication effects. (shrink)

Reflection on the natural/artificial, real/imaginary, subjective/objective dicotomies is increasingly the subject of debate on systems of communication, which make more and more widespread use of expert and/or intelligent advanced technologies.This paper analyses different forms of communication operating in a socio-technical system. The analysis is concerned with changes in creativity and participation of the human being in the decision and production processes within various contexts of social life. It is thus important to verify the possibility of an interpolation (...) between vital world, social system, and information technologies in order to understand a possible interrelation between therational and therelational components in the presentsocio-technical system. (shrink)

Strategies for improving the explainability of artificial agents are a key approach to support the understandability of artificial agents’ decision-making processes and their trustworthiness. However, since explanations are not inclined to standardization, finding solutions that fit the algorithmic-based decision-making processes of artificial agents poses a compelling challenge. This paper addresses the concept of trust in relation to complementary aspects that play a role in interpersonal and human–agent relationships, such as users’ confidence and their perception of artificial (...) agents’ reliability. Particularly, this paper focuses on non-expert users’ perspectives, since users with little technical knowledge are likely to benefit the most from “post-hoc”, everyday explanations. Drawing upon the explainable AI and social sciences literature, this paper investigates how artificial agent’s explainability and trust are interrelated at different stages of an interaction. Specifically, the possibility of implementing explainability as a trust building, trust maintenance and restoration strategy is investigated. To this extent, the paper identifies and discusses the intrinsic limits and fundamental features of explanations, such as structural qualities and communication strategies. Accordingly, this paper contributes to the debate by providing recommendations on how to maximize the effectiveness of explanations for supporting non-expert users’ understanding and trust. (shrink)

Purpose Artificial intelligence and automation are currently changing human life with a great implication in the communication field. This research focusses on understanding the current and growing impact of AI and automation in the role of communication professionals to identify what skills and training are needed to face its impacts leading to a recommendation. Design/methodology/approach The research involves methodological triangulation, analysing and comparing data gathered from consulting with experts using the Delphi method, focus group with communication (...) students, and literature review. Findings Findings show that the likely impacts are on the one hand the enhancing of efficiency and productivity, as well as freeing communication professionals to focus on the creative side, strategy and analytical thinking, on the other hand, repetitive and low-level jobs could be lost, being higher position jobs or those involving creativity and decision making harder to automate. Two types of training are needed: to gather experience with the current AI and automated tools, and to focus on developing human qualities that AI cannot replicate. Originality/value The outcomes of this research are valuable to help current and future communication practitioners, as well as organisations, to be one step ahead and survive the age AI and automation, being aware of its current and near-future impacts. The paper offers a list of recommended soft and technical skills, as well as training needed, categorizing them in low, medium and high priority. (shrink)

In October 2016, the White House, the European Parliament, and the UK House of Commons each issued a report outlining their visions on how to prepare society for the widespread use of artificial intelligence. In this article, we provide a comparative assessment of these three reports in order to facilitate the design of policies favourable to the development of a ‘good AI society’. To do so, we examine how each report addresses the following three topics: the development of a (...) ‘good AI society’; the role and responsibility of the government, the private sector, and the research community in pursuing such a development; and where the recommendations to support such a development may be in need of improvement. Our analysis concludes that the reports address adequately various ethical, social, and economic topics, but come short of providing an overarching political vision and long-term strategy for the development of a ‘good AI society’. In order to contribute to fill this gap, in the conclusion we suggest a two-pronged approach. (shrink)

In March 2016, DeepMind's computer programme AlphaGo surprised the world by defeating the world‐champion Go player, Lee Sedol. AlphaGo exhibits a novel, surprising and valuable style of play and has been recognised as “creative” by the artificial intelligence (AI) and Go communities. This article examines whether AlphaGo engages in creative problem solving according to the standards of comparative psychology. I argue that AlphaGo displays one important aspect of creative problem solving (namely mental scenario building in the form of Monte (...) Carlo tree search), while lacking another (domain generality). This analysis has consequences for how we think about creativity in humans and AI. (shrink)

The phenomenon of knowledge withholding is a vital issue that undermines knowledge sharing and innovation, hinders the development of offline and online organizations. Clarifying the relationship between influencing factors and knowledge withholding is significant to improve the phenomenon of knowledge withholding in offline and online organizations. Few types of research focus on the online virtual academic community and integrate the three factors of knowledge, individual, and environment to research knowledge withholding. To solve the limitation, this research is based on sociology (...) and psychology-related theories. The two dimensions of enabling and inhibition are divided into factors affecting knowledge withholding. An attempt is made to explore the path between the three types of factors influencing knowledge, individual and environment, and knowledge withholding. This study collected data from 616 users in China’s virtual academic community. It used a structural equation model combined with a cross-layer connected neural network to conduct an empirical analysis on the proposed hypothesis. The results found that: in the virtual academic community, knowledge power in the enabling dimension is the main reason for users to form knowledge psychological ownership, which affects users’ knowledge withholding. However, the effect of professional commitment on users’ knowledge psychological ownership is not significant. After SEM-ANN model fitting, the combined inhibitory effect of community privacy protection and community reciprocity on user knowledge withholding in the inhibition dimension is significantly improved. This research has a specific guiding significance for enhancing the knowledge withholding phenomenon of the virtual academic community and creating an excellent academic exchange atmosphere. (shrink)

Given the undeniable hype around artificial intelligence (AI), it is imperative to investigate both how researchers of AI negotiate this hype as well as wrestle with it in their research. To do so, we study the perspectives of these scientists actively transforming contemporary life via machine learning (ML). Using qualitative interviews with 108 researchers, we explore communication challenges: addressing the hype surrounding AI and ML, communicating technical knowledge, and publication pressures. We report how these unique conditions shape this (...) population’s writing practices: document cycling, writing-to-learn, and video production/social media activity. Ultimately, we aim to provide insight into the breadth of practices in this rapidly-evolving discipline, without advocating for any. (shrink)

Science-fiction (SF) has become a reference point in the discourse on the ethics and risks surrounding artificial intelligence (AI). Thus, AI in SF—science-fictional AI—is considered part of a larger corpus of ‘AI narratives’ that are analysed as shaping the fears and hopes of the technology. SF, however, is not a foresight or technology assessment, but tells dramas for a human audience. To make the drama work, AI is often portrayed as human-like or autonomous, regardless of the actual technological limitations. (...) Taking science-fictional AI too literally, and even applying it to science communication, paints a distorted image of the technology's current potential and distracts from the real-world implications and risks of AI. These risks are not about humanoid robots or conscious machines, but about the scoring, nudging, discrimination, exploitation, and surveillance of humans by AI technologies through governments and corporations. AI in SF, on the other hand, is a trope as part of a genre-specific mega-text that is better understood as a dramatic means and metaphor to reflect on the human condition and socio-political issues beyond technology. (shrink)

Roman Catholics have a long tradition of evaluating medical treatment at the end of life to determine if proposed interventions are proportionate and morally obligatory or disproportionate and morally optional. There has been significant debate within the Catholic community about whether artificially delivered nutrition and hydration can be appreciated as a medical intervention that may be optional in some situations, or if it should be treated as essentially obligatory in all circumstances. Recent statements from the teaching authority of the church (...) have attempted to clarify this issue, especially for those with a condition known as the persistent vegetative state. I argue that these recent teachings constitute a “general norm” whereby artificial nutrition and hydration are considered obligatory for most patients, but that these documents allow for exception in cases of complication from the means used to deliver nutrition and hydration, progressive illness, or clear refusal of such treatment by patients. While the recent clarifications do not constitute a major deviation from traditional understanding and will rarely conflict with advance directives or legal statutes, there may be rare instances in which remaining faithful to church teaching may conflict with legally enshrined patient prerogatives. Using the Texas Advance Directives Act as an example, I propose ways in which ethics committees can remain faithful to their Roman Catholic identity while respecting patient autonomy and state law pertaining to end of life health care. (shrink)

As artificial intelligence (AI) continues to proliferate into every area of modern life, there is no doubt that society has to think deeply about the potential impact, whether negative or positive, that it will have. Whilst scholars recognise that AI can usher in a new era of personal, social and economic prosperity, they also warn of the potential for it to be misused towards the detriment of society. Deliberate strategies are therefore required to ensure that AI can be safely (...) integrated into society in a manner that would maximise the good for as many people as possible, whilst minimising the bad. One of the most urgent societal expectations of artificial agents is the need for them to behave in a manner that is morally relevant, i.e. to become artificial moral agents (AMAs). In this article, I will argue that exemplarism, an ethical theory based on virtue ethics, can be employed in the building of computationally rational AMAs with weak machine ethics. I further argue that three features of exemplarism, namely grounding in moral exemplars, meeting community expectations and practical simplicity, are crucial to its uniqueness and suitability for application in building AMAs that fit the ethos of AI4SG. (shrink)

Purpose The purpose of this paper is clearly illustrate this convergence and the prescriptive recommendations that such documents entail. There is a significant amount of research into the ethical consequences of artificial intelligence. This is reflected by many outputs across academia, policy and the media. Many of these outputs aim to provide guidance to particular stakeholder groups. It has recently been shown that there is a large degree of convergence in terms of the principles upon which these guidance documents (...) are based. Despite this convergence, it is not always clear how these principles are to be translated into practice. Design/methodology/approach In this paper, the authors move beyond the high-level ethical principles that are common across the AI ethics guidance literature and provide a description of the normative content that is covered by these principles. The outcome is a comprehensive compilation of normative requirements arising from existing guidance documents. This is not only required for a deeper theoretical understanding of AI ethics discussions but also for the creation of practical and implementable guidance for developers and users of AI. Findings In this paper, the authors therefore provide a detailed explanation of the normative implications of existing AI ethics guidelines but directed towards developers and organisational users of AI. The authors believe that the paper provides the most comprehensive account of ethical requirements in AI currently available, which is of interest not only to the research and policy communities engaged in the topic but also to the user communities that require guidance when developing or deploying AI systems. Originality/value The authors believe that they have managed to compile the most comprehensive document collecting existing guidance which can guide practical action but will hopefully also support the consolidation of the guidelines landscape. The authors’ findings should also be of academic interest and inspire philosophical research on the consistency and justification of the various normative statements that can be found in the literature. (shrink)

Wealth distribution based on classic sugarscape model leads to a population increase and the Gini coefficient decrease when cooperation and communication parameters are taken into account. In another study, this model was developed by implying a receipt of one-fifth of the assets of the population and derived utilization for poor people. The results showed a relation between mortality decrease, population increase, and Gini coefficient decrease (equality increase). In a synergic process, the wealth adjustment based on sugarscape model underwent some (...) experiments by implying communication and cooperation, and the mechanism of receiving and utilizing the assets. The results show that the population increase and the Gini coefficient decrease play an important role in wealth adjustment. (shrink)

The potential societal impacts of automation using intelligent control and communications technologies have emerged as topics in a number of recent writings and public policy initiatives. Many of these expressions have referenced the writings and research efforts of Herbert Simon (1961), Norbert Wiener (1948), and contemporaries from their early technological and social vantage points concerning the future of technology and society. Constructed entities labeled as “thinking machines” (such as IBM’s Watson as well as intelligent chatbot and robotic systems) have also (...) played significant roles in this discourse. This paper provides an historical sequencing then analyzes a selection of writings produced since the 1940s concerning the economic and social issues involving artificial intelligence (AI) research and applications. The paper explores how overstatements and hyperbolic themes and concepts, often stemming from AI’s early periods, are being employed in characterizations of current AI approaches in apparently opportunistic attempts to provide rhetorical support for various large-scale business and societal initiatives. It also addresses the relative neglect of the consideration of many of AI’s sociotechnical failures and discontinued approaches in recent examinations of automation and social welfare issues. The paper discusses the moral logic of AI researchers and developers providing reasonable and measured narratives in public discourse rather than hyperbole, efforts that can empower decision makers to make sounder judgments concerning the technology’s current and future applications as well as allocate the rewards of the technology more equitably. (shrink)

In this work I analyze the phenomenon of political polarization on the internet. I argue that the approach centered on the filter bubble and echo chambers has shortcomings. To solve them, I propose the concept of artificial polarization. This concept refers to the process by which the expressive uses of communication, such as flaming or moral grandstanding, provoke fictitious forms of polarization. Recognizing the artificial polarization will allow a better understanding of the polarization processes in the network (...) and their effects on the democratic debate. (shrink)

The aim of regenerative medicine is to reconstruct tissue that has been lost or pathologically altered. Therapeutic cloning seems to offer a method of achieving this aim; however, the ethical debate surrounding human therapeutic cloning is highly controversial. Artificial parthenogenesis—obtaining embryos from unfertilised eggs—seems to offer a way to sidestep these ethical pitfalls. Jacques Loeb , the founding father of artificial parthogenesis, faced negative public opinion when he published his research in 1899. His research, the public’s response to (...) his findings, and his ethical foundations serve as an historical argument both for the communication of science and compromise in biological research. (shrink)

The subject of this study is the participants in artificial sociality (humans and artificial intelligence (AI) tools) and communication between them. The first section analyses (using Luhmann’s methodology) communication as the basis of sociality. The second section shows how AI tools became social technologies in the framework of artificial sociality. The third section describes experimental communication between authors and AI tools (the case of ChatGPT). For the first time in the Baltic countries, the authors (...) examined sociological, humanitarian, natural and technological aspects of the functioning AI tools, which participate in creation of a new social reality for human society – artificial sociality. (shrink)

The growing advancement of Artificial Intelligence models based on deep learning and the consequent popularization of large language models (LLMs), such as ChatGPT, place the academic community facing unprecedented dilemmas, in addition to corroborating questions involving research activities and human beings. In this work, Content Analysis was chosen as the object of study, an important technique for analyzing qualitative data and frequently used among Brazilian researchers. The objective of this work was to compare the process of categorization by themes (...) carried out by human researchers on material from the Educational area, at the end of 2022, with the help of the ATLAS.TI software and the same process of categorization by themes, now carried out by the version 2023 of the ATLAS.TI software, carried out in an automated way by Artificial Intelligence, for the same material. Through lexical and semantic analysis, the themes used in the two processes were compared, observing similarities and differences between the two proposals, and verifying the consistency between the two analyses. The main result of this study is the difficulty of Artificial Intelligence in carrying out a broader categorization, eliminating specificities that were considered irrelevant by the authors for understanding the material. It is concluded, therefore, that the automated categorization process proposed by ATLAS.TI through Natural Language Processing (NLP) is consistent from a lexical point of view but is still insufficient from a semantic aspect. (shrink)

This essay examines whether and to what extent the “other” in communicative interactions may be otherwise than another human subject and the moral opportunities and challenges this alteration would make available to us. Toward this end, the analysis proceeds in five steps or movements. The first reviews the way the discipline of communication has typically perceived and theorized the role and function of technology. The second and third parts investigate the critical challenges that emerging technology, such as artificial (...) intelligence applications and robots, poses to this standard instrumentalist way of thinking. The fourth part introduces an alternative called “relational ethics,” which effectively flips the script on the usual way of proceeding. And the fifth part presents and responds to one important and notable objection to this alternative. The goal in all of this is not to complicate things but to introduce and formulate a techno-ethics that is more agile in its response to the opportunities and challenges of the 21st century and beyond. (shrink)

. A comparison is made between two unlikely debates over intelligence. One debate took place in 1550 at Valladolid, Spain, between Bartolomé de las Casas and Juan Gines de Sepúlveda over the intelligence of the Amerindian. The other debate is contemporary, between John Searle and various representatives of the “strong” artificial intelligence community over the adequacy of the Turing test for intelligence. Although the contemporary debate has yet to die down, the Valladolid debate has been over for four hundred (...) years. The question asked here is whether the contemporary debate can profit from the previous one. The common bond providing the basis for contrast is the issue of the “other” which is present in both debates. From this contrast, the observation is made that the question of meaning is intimately tied to the question of intelligence. (shrink)

We present here a digital scenario to simulate the emergence of self-organized symbol-based communication among artificial creatures inhabiting a virtual world of predatory events. In order to design the environment and creatures, we seek theoretical and empirical constraints from C.S.Peirce Semiotics and an ethological case study of communication among animals. Our results show that the creatures, assuming the role of sign users and learners, behave collectively as a complex system, where self-organization of communicative interactions plays a major (...) role in the emergence of symbol-based communication. We also strive for a careful use of the theoretical concepts involved, including the concepts of symbol, communication, and emergence, and we use a multi-level model as a basis for the interpretation of inter-level relationships in the semiotic processes we are studying. (shrink)

The topic of the impact of artificial intelligence on law, the legal profession and legal culture, in general, has not yet been sufficiently discussed in the Croatian scientific community. This paper aims to encourage a more comprehensive analysis of the relationship between the increasing use of artificial intelligence in our daily lives and the specifics of practising the legal profession in such an environment. Artificial intelligence is still a broad and heterogeneous field. It is therefore justified to (...) ask the question: Which of the many technologies currently being developed can be applied in the field of law? Which legal matters can be “entrusted” to the new technologies? To answer such and similar questions, it is necessary to have an excellent knowledge of both artificial intelligence and the law, as well as the areas in which they intersect. We have chosen criminal law, which is a part of public law and the ultimate social mechanism for responding to undesirable behaviour, as our object of study. We pay particular attention to its two important aspects: the element of culpability in a criminal offence and the possibility of autonomous decision-making in criminal law. The reflections have shown that Croatian criminal law may have the ability and potential to adapt to the challenges of artificial intelligence when it comes to culpability. On the other hand, the necessity and value of artificially intelligent decisions are questionable given the fundamental characteristics of criminal law. In conclusion, the authors express a departure from views of artificial intelligence as a decision-making substitute in criminal law but support the view that artificially intelligent legal technologies are an aid to decision-making. (shrink)

Virtue ethics seems to be a promising moral theory for understanding and interpreting the development and behavior of artificial moral agents. Virtuous artificial agents would blur traditional distinctions between different sorts of moral machines and could make a claim to membership in the moral community. Accordingly, we investigate the “machine question” by studying whether virtue or vice can be attributed to artificial intelligence; that is, are people willing to judge machines as possessing moral character? An experiment describes (...) situations where either human or AI agents engage in virtuous or vicious behavior and experiment participants then judge their level of virtue or vice. The scenarios represent different virtue ethics domains of truth, justice, fear, wealth, and honor. Quantitative and qualitative analyses show that moral attributions are weakened for AIs compared to humans, and the reasoning and explanations for the attributions are varied and more complex. On “relational” views of membership in the moral community, virtuous machines would indeed be included, even if they are indeed weakened. Hence, while our moral relationships with artificial agents may be of the same types, they may yet remain substantively different than our relationships to human beings. (shrink)

Some artificial intelligence systems can display algorithmic bias, i.e. they may produce outputs that unfairly discriminate against people based on their social identity. Much research on this topic focuses on algorithmic bias that disadvantages people based on their gender or racial identity. The related ethical problems are significant and well known. Algorithmic bias against other aspects of people’s social identity, for instance, their political orientation, remains largely unexplored. This paper argues that algorithmic bias against people’s political orientation can arise (...) in some of the same ways in which algorithmic gender and racial biases emerge. However, it differs importantly from them because there are strong social norms against gender and racial biases. This does not hold to the same extent for political biases. Political biases can thus more powerfully influence people, which increases the chances that these biases become embedded in algorithms and makes algorithmic political biases harder to detect and eradicate than gender and racial biases even though they all can produce similar harm. Since some algorithms can now also easily identify people’s political orientations against their will, these problems are exacerbated. Algorithmic political bias thus raises substantial and distinctive risks that the AI community should be aware of and examine. (shrink)

Although there have been efforts to integrate Semantic Web technologies and artificial agents related AI research approaches, they remain relatively isolated from each other. Herein, we introduce a new ontology framework designed to support the knowledge representation of artificial agents’ actions within the context of the actions of other autonomous agents and inspired by standard cognitive architectures. The framework consists of four parts: 1) an event ontology for information pertaining to actions and events; 2) an epistemic ontology containing (...) facts about knowledge, beliefs, perceptions and communication; 3) an ontology concerning future intentions, desires, and aversions; and, finally, 4) a deontic ontology for modeling obligations and prohibitions which limit agents’ actions. The architecture of the ontology framework is inspired by deontic cognitive event calculus as well as epistemic and deontic logic. We also describe a case study in which the proposed DCEO ontology supports autonomous vehicle navigation. (shrink)

PurposeThis paper aims to demonstrate the relevance of worldviews of the global south to debates of artificial intelligence, enhancing the human rights debate on artificial intelligence (AI) and critically reviewing the paper of UNESCO Commission on the Ethics of Scientific Knowledge and Technology (COMEST) that preceded the drafting of the UNESCO guidelines on AI. Different value systems may lead to different choices in programming and application of AI. Programming languages may acerbate existing biases as a people’s worldview is (...) captured in its language. What are the implications for AI when seen from a collective ontology? Ubuntu (I am a person through other persons) starts from collective morals rather than individual ethics.Design/methodology/approachLiterature overview on the African philosophy of Ubuntu as applied to artificial intelligence. Application of it to the United Nations Educational, Scientific and Cultural Organisation (UNESCO) debates on establishing guidelines to the ethics of artificial intelligence.FindingsMetaphysically, Ubuntu and its conception of social personhood (attained during one’s life) largely rejects transhumanism. When confronted with economic choices, Ubuntu favors sharing above competition and thus an anticapitalist logic of equitable distribution of AI benefits, humaneness and nonexploitation. When confronted with issues of privacy, Ubuntu emphasizes transparency to group members, rather than individual privacy, yet it calls for stronger (group privacy) protection. In democratic terms, it promotes consensus decision-making over representative democracy. Certain applications of AI may be more controversial in Africa than in other parts of the world, like care for the elderly, that deserve the utmost respect and attention, and which builds moral personhood. At the same time, AI may be helpful, as care from the home and community is encouraged from an Ubuntu perspective. The report on AI and ethics of the UNESCO World COMEST formulated principles as input, which are analyzed from the African ontological point of view. COMEST departs from “universal” concepts of individual human rights, sustainability and good governance which are not necessarily fully compatible with relatedness, including future and past generations. Next to rules based approaches, which may hamper diversity, bottom-up approaches are needed with intercultural deep learning algorithms.Research limitations/implicationsThere is very few existing literature on AI and Ubuntu. Therefore, this paper is of an explorative nature.Practical implicationsThe ethics of Ubuntu offers unique vantage points in looking at the organization of society and economics today, which are also relevant for development of AI, especially in its tenet of relatedness rather than individuality (and practical use of AI for individuals), taking responsibility for society as a whole (such as analyzing the benefit of AI for all strata of society), and embodying true inclusiveness. Whether looking at top-down guidelines for the development and implementation of AI or the bottom-up ethical learning process of AI (deep learning), ethics of the Global South can have an important role to play to combat global individualist tendencies and inequity, likely reinforced by AI. This warrants far more research.Social implicationsApplications of AI in Africa are not contextualized, do not address the most pressing needs of the African continent, lead to cybersecurity issues and also do not incorporate African ethics. UNESCO’s work in this regard is important but expert inputs are largely centered around Western “universal” principles and Organisation for Economic Cooperation and Development and EU precedence. African ethics have, so far, a small role to play in global ethics and philosophy and therefore risk to be overlooked in the discussion on AI and ethics. This is why the consultation process of UNESCO on ethics of AI was of paramount importance. However, it does not automatically lead to consultation of African philosophers or sages, as many are educated in Western (ized) education systems. See further details under practical implications.Originality/valueThis is a new area of research in which little work has been done so far. This paper offers the opportunity to widen the debate on AI and ethics beyond the conventional discourse, involving multiple worldviews, of which Ubuntu is just one. (shrink)

In 2021, 193 Member States at UNESCO’s General Conference adopted the Recommendation on the Ethics of Artificial Intelligence as the first important step towards a future global standard-setting instrument on the subject. The text reflects an emerging consensus among the international community about the growing ethical concerns with artificial intelligence (AI). Among these concerns are also serious risks and dangers attributed to the manipulative effects of AI, which can be further exacerbated by the creative combination of AI with (...) other innovative technologies or applications, such as brain–computer interfaces (BCIs), functional magnetic resonance imaging (fMRI), robotics, and big data. The risks for individuals and society as a whole caused by manipulation through AI are already well known and have recently also been addressed by the European Union having released a proposal for an Artificial Intelligence Act (AIA). Among multiple risks related to AI, the AIA singles out the specific dangers related to AI systems that deploy “subliminal techniques beyond a person’s consciousness to materially distort a person’s behaviour in a manner that causes or is likely to cause that person or another person physical or psychological harm”. The present article thus aims to highlight the known and potential dangers related to AI systems manipulating human thoughts and behaviour through subliminal and supraliminal means and methods. To this end, it advocates the joint study of law and the senses captured by the concept of legal synaesthesia to correspond to the need for an interdisciplinary debate covering the complexity of the links between AI, related technologies, human perception based on the senses and the mind, as well as the role and instruments of law in the future organization of societies in this world. (shrink)

This book explores the role of artificial intelligence in the development of a claim that morality is person-made and rational. Professor Danielson builds moral robots that do better than amoral competitors in a tournament of games like the Prisoners Dilemma and Chicken. The book thus engages in current controversies over the adequacy of the received theory of rational choice. It sides with Gauthier and McClennan, who extend the devices of rational choice to include moral constraint. Artificial Morality goes (...) further, by promoting communication, testing and copying of principles and by stressing empirical tests. (shrink)

Objectives To examine the frequency and characteristics of decisions to forgo artificial nutrition and/or hydration at the end of life.Design Postal questionnaire survey regarding end-of-life decisions to physicians certifying a large representative sample of Belgian death certificates in 2007.Setting Flanders, Belgium, 2007.Participants Treating physicians of deceased patients.Results Response rate was 58.4%. A decision to forgo ANH occurred in 6.6% of all deaths . Being female, dying in a care home or hospital and suffering from nervous system diseases or malignancies (...) were the most important patient-related factors positively associated with a decision to forgo ANH. Physicians indicated that the decision to forgo ANH had had some life-shortening effects in 77% of cases. There had been no consultation with the patient in 81%, mostly due to incapacity . The family, colleague physicians and nurses were involved in decision making in 76%, 41% and 62%, respectively.Conclusions A substantial number of deaths are preceded by a decision to forgo ANH in Belgium. These decisions, ethically laden and involving a considerable chance of life shortening, are mostly not preceded by discussion with the patient despite existing patient rights legislation. It is recommended that physicians and patients and their families alike dedicate ample time to the discussion of treatment options and communication about the possibility of forgoing ANH and that this discussion takes place earlier as part of overall end-of-life care planning rather than at the very end of life. (shrink)