This book develops an Aristotelian account of the virtue of practical intelligence or "phronesis"--an excellence of deliberating and making choices--which ...

The focus of this paper is the following claim: as a purely conceptual matter, the moral truths could be pretty much anything, and we should assume this in assessing our reliability at grasping moral truths. This claim, which I call No Content, plays a key role in an important skeptical argument against realist moral knowledge – the Normative Lottery Argument. In this paper, I argue that moral realists can, and should, reject No Content. My argument centers on the idea of (...) practical intelligibility. I explore different aspects of practical intelligibility, and I argue that such intelligibility sets a constraint on the possibilities we should consider when assessing our reliability at grasping moral truths. (shrink)

Prophetic pragmatism and radical orthodoxy seek to overcome the limitations of traditional philosophy by means of religious practices. This essay compares and contrasts the two positions by discussing the importance of religious practices in "making sense" of the world and the lives of those who perform such practices. By taking advantage of and overcoming the postmodern age, both traditions free religion from the auspices of philosophy. However, certain theological limitations make radical orthodoxy more difficult to implement than prophetic pragmatism, which (...) is not only free of such limitations, but can also account for the radical orthodox position. (shrink)

The chief defect of all previous materialism is that things, reality, the sensible world, are conceived only in the form of objects of observation, but not as human sense activity, not as practical activity, not subjectively. Hence, in opposition to materialism, the active side was developed abstractly by idealism, which of course does not know real sense activity as such.

Daniel Russell's Practical Intelligence and the Virtues is principally a defense of the Aristotelian claim that phronesis is part of every unqualified virtue—a defense of what Russell calls "hard virtue theory" and "hard virtue ethics." The main support for this is the further claim that we would be unable to act well reliably, or form our character reliably, without phronesis performing its "twin roles": correctly identifying the mean of each virtue, and integrating the mean of each virtue with (...) those of others so as to enable us to act in an overall virtuous manner. In following Russell's argument for these claims, we find much else of interest, including a persuasive account of right action and a resurrection of the old doctrine of cardinal virtues. Here I seek first to give readers a sense of the range and depth of this important book by summarizing the main lines of its argument. But I also raise some critical points, the most substantive of which concern his treatments of the unity of the virtues and of responsibility for character. (shrink)

It is not uncommon for people to suffer identity crises. Yet, faced with similarly disruptive circumstances, some people plunge into an identity crisis while others do not. How must selfhood be construed given that people are vulnerable to identity crises? And how must agency be construed given that some people skirt potential identity crises and renegotiate the terms of their personal identity without losing their equilibrium -- their sense of self? If an adequate theory of the self and agency must (...) be able to account for this capacity to avert identity crises, I argue that it must include an account of agentic corporeity. After explaining what an identity crisis is, I examine Charles Taylor’s and David Velleman’s accounts of identity and agency and argue that their omission of agentic corporeity makes it impossible for them to convincingly account for the ability to avert an identity crisis. In the spirit of Merleau-Ponty’s account of the intentional arc and J. J. Gibson’s account of the relation between corporeity and affordances, I sketch an account of psychocorporeal practical intelligence that includes three main components – psychocorporeal insight, psychocorporeal values, and psychocorporeal versatility. I conclude by connecting my position to Aristotle’s views about practical understanding and by arguing that both Taylor and Velleman have reason to embrace my position. (shrink)

In Aristotelian virtue theories, phronesis is foundational to being good, but to date accounts of how this particularly important virtue can emerge are sketchy. This article plumbs recent thinking in Aristotelian virtue ethics and developmental theorizing to explore how far its emergence can be understood developmentally, i.e., in terms of the growth in ordinary conditions of underlying psychological capacities, dispositions, and the like. The purpose is not to explicate Aristotle, nor to assimilate Aristotelian ideas to cognitive developmental moral theorizing, but (...) to draw on both to build an independently plausible theory of practical intelligence and its development. It is argued that one fruitful direction attends to the psychology of virtues Aristotle associates with practical intelligence, including comprehension, understanding, sense, and cleverness, instead of Aristotle’s remarks distinguishing fully virtuous persons from the continent, incontinent and the many. (shrink)

The creation of machines with intelligence comparable to human beings—so-called "human-level” and “general” intelligence—is often regarded as the Holy Grail of Artificial Intelligence (AI) research. However, many prominent discussions of AI lean heavily on the notion of human-level intelligence to frame AI research, but then rely on conceptions of human cognitive capacities, including “common sense,” that are sketchy, one-sided, philosophically loaded, and highly contestable. Our goal in this essay is to bring into view some underappreciated features (...) of the practical intelligence involved in ordinary human agency. These features of practical intelligence are implicit in the structure of our first-person experience of embodied and situated agency, deliberation, and human interaction. We argue that spelling out these features and their implications reveals a fundamental distinction between two forms of intelligence in action, or what we call “efficient task-completion” versus “intelligent engagement in activity.” This distinction helps us to see what is missing from some widely accepted ways of thinking about human-level intelligence in AI, and how human common sense is actually tied, conceptually, to the ideal of practical wisdom, or good (normative) judgment about how to act and live well. Finally, our analysis, if sound, also has implications for the important ethical question of what it means to have AI systems that are aligned with human values, or the so-called “value alignment” problem for artificial intelligence. (shrink)

From the Stoics, there follows a psychological tradition leading, through Hobbes and Leibniz, to Peirce and Dewey. These thinkers are drawn on to show the significance of the conception of thinking first articulated in the Odyssey. Homer's work inaugurates an approach that has provoked philosophical conflict persisting into the present, and opposition to pragmatism and Pragmatism can be discerned in prominent critiques of Homer and his hero which are analyzed and countered in this study.

Making Your Mind Matter is a practical guide to effective thinking in college and in everyday life, following the WISE model.

This paper provides an analysis of nursing as a knowledgeable discipline. We examined ways in which knowledge operates in the practice of home care nursing and explored how knowledge might be fruitfully understood within the ambiguous spaces and competing temporalities characterizing contemporary healthcare services. Two popular metaphors of knowledge in nursing practice were identified and critically examined; evidence-based practice and the nurse as an intuitive worker. Pointing to faults in these conceptualizations, we suggest a different way of conceptualizing the relationship (...) between knowledge and practice, namely practice as being activated by contextualized knowledge. This conceptualization is captured in an understanding of the intelligent creation of context by the nurse for nursing practice to be ethical and effective. (shrink)

Although theory and research on emotional intelligence (EI) in the workplace has generated high expectations and promising findings, the gap between research and practice looms large. Several lines of inquiry point to the potential benefits of EI for leaders, teams, and organizations. Yet, assessing EI remains challenging, and research focusing on group and organizational levels of analysis is still scarce. In this review, I seek to bridge the gap between research and practice by considering a broader view of EI (...) and discussing research findings with a focus on implications for assessment and training. In particular, I discuss strategies to enhance the impact of EI and leadership training, and to drive results through well-integrated organizational development initiatives. (shrink)

Background: The debate over the ethical implications of care robots has raised a range of concerns, including the possibility that such technologies could disrupt caregiving as a core human moral activity. At the same time, academics in information ethics have argued that we should extend our ideas of moral agency and rights to include intelligent machines. Research objectives: This article explores issues of the moral status and limitations of machines in the context of care. Design: A conceptual argument is developed, (...) through a four-part scheme derived from the work of Alasdair MacIntyre. No empirical data are used. Ethical consideration: No primary data were gathered for this study. Secondary sources and authorship have been acknowledged throughout. Findings / discussion: Certain kinds of social experience, including the narrative unity of a life, and the giving and receiving of care, are essential for moral development. Machines, no matter how advanced, cannot participate in such experiences in key respects, and thus cannot develop as practical reasoners. Conclusion: It follows that they cannot be moral agents and that they cannot care. There are, it seems, no such things as care robots. In view of the institutional power of tech companies and commissioning bodies, care practitioners need to take more of a lead in developing new assistive technologies which are appropriate to their practice. (shrink)

Background The use of Artificial Intelligence (AI) has the potential to provide relief in the challenging and often stressful clinical setting for physicians. So far, however, the actual changes in work for physicians remain a prediction for the future, including new demands on the social level of medical practice. Thus, the question of how the requirements for physicians will change due to the implementation of AI is addressed. Methods The question is approached through conceptual considerations based on the potentials (...) that AI already offer and the focus on central normative concepts of trust, explainability, and responsibility which play an important role when implementing AI in everyday clinical practice. Conclusion Interpersonal communication will not disappear upon implementation of AI. Instead, it is much more likely that the exchange between various actors in medical practice will become increasingly important. This adds another level of complexity to practical concepts such as Shared-Decision-Making, which must be addressed in empirical research, including the involvement of AI systems as actors in communication. (shrink)

Background The twenty first- century marked the exponential growth in the use of intelligent robots and artificial intelligent in nursing compared to the previous decades. To the best of our knowledge, this article is first in responding to question, “Can nurses in clinical practice ascribe responsibility to intelligent robots and artificial intelligence when they commit errors?”. Purpose The objective of this article is to present two worldviews (anthropocentrism and biocentrism) in responding to the question at hand chosen based on (...) the roles of the entities involved in the use of intelligent robots and artificial intelligence in nursing. Methods The development of this article was motivated by the immense discoveries, the current landscape, and nurses’ role in relation to advanced technologies in healthcare. The paper begins the discussion by situating the use of intelligent robots and artificial intelligence in nursing and healthcare and presenting its ethical and moral implications. Then, we presented the two worldviews: anthropocentrism and biocentrism which are used to respond to the task at hand. Results Anthropocentrism puts humans in the center in terms of moral standing and thus responsibility rests on them alone. Biocentrism declares that all creations deserve moral consideration and thus responsibility is equally allocated to all entities. Within these two worldviews, consensus development was offered to resolve these issues. Consensus provides clarity and democracy between and among the societies. Conclusions The findings of this article can be basis in (1) instituting mechanisms of robust peer review and a rigorous series of simulation before adopting or implementing intelligent robots and artificial intelligence in clinical practice; (2) education and training of highly specialized nurse practitioners who can be focal persons in responding to ethical and moral issues with regard to these advanced technologies; and (3) harmonization of robotics research, manufacturing, and clinical practice. (shrink)

This accessible guide gives a clear introduction to MI and provides concrete examples of how you can use it in your teaching.

Christopher Winch; Ability, Intelligence and Practical Education, Journal of Philosophy of Education, Volume 22, Issue 1, 30 May 2006, Pages 35–45, https://doi.

Perceiving things to be a certain way may in some cases lead directly to action that is intelligent. This phenomenon has not often been discussed, though it is of broad philosophical interest. It also raises a difficult question: how can perception produce intelligent action? After clarifying the question—which I call the question of “practical perception”—and explaining what is required for an adequate answer, I critically examine two candidate answers drawn from work on related topics: the first, inspired by Hubert (...) Dreyfus's phenomenological analysis of absorbed coping, focuses on awareness of situational features; the other, suggested by Gilbert Ryle's classic treatment of knowledge-how, focuses on possession of behavioral dispositions. I argue that neither approach is adequate. Subsequently, I develop and defend an alternative answer that emphasizes the agent's conceptual understanding. (shrink)

Purpose The purpose of this paper is to demonstrate the advancements in artificial intelligence (AI) and conversational agents, emphasizing their potential benefits while also highlighting the need for vigilant monitoring to prevent unethical applications. Design/methodology/approach As AI becomes more prevalent in academia and research, it is crucial to explore ways to ensure ethical usage of the technology and to identify potentially unethical usage. This manuscript uses a popular AI chatbot to write the introduction and parts of the body of (...) a manuscript discussing conversational agents, the ethical usage of chatbots and ethical concerns for academic researchers. Findings The authors reveal which sections were written entirely by the AI using a conversational agent. This serves as a cautionary tale highlighting the importance of ethical considerations for researchers and students when using AI and how educators must be prepared for the increasing prevalence of AI in the academy and industry. Measures to mitigate potential unethical use of this evolving technology are also discussed in the manuscript. Originality/value As conversational agents and chatbots increase in society, it is crucial to understand how they will impact the community and how we can live with technology instead of fighting against it. (shrink)

The rapid diffusion of artificial intelligence (AI) technologies in the defence domain raises challenges for the ethical governance of these systems. A recent shift from the what to the how of AI ethics sees a nascent body of literature published by defence organisations focussed on guidance to implement AI ethics principles. These efforts have neglected a crucial intermediate step between principles and guidance concerning the elicitation of ethical requirements for specifying the guidance. In this article, we outline the key (...) normative choices and corresponding tradeoffs that are involved in specifying guidance for the implementation of AI ethics principles in the defence domain. These correspond to: the AI lifecycle model used; the scope of stakeholder involvement; the accountability goals chosen; the choice of auditing requirements; and the choice of mechanisms for transparency and traceability. We provide initial recommendations for navigating these tradeoffs and highlight the importance of a pro-ethical institutional culture. (shrink)

The paper calls for a re-evaluation of physical education’s cognitive value claims, as this issue is fundamental to many of the conceptual difficulties the subject faces. Current epistemological challenges are reviewed before analysing the structural connections between intelligent practice and intelligent virtues, and the possibilities for physical education to better articulate its’ intrinsic and instrumental values claims. The paper evaluates arguments made on this basis and reviews revised curriculum planning and pedagogical practices, which could support an enhanced focus on learners’ (...) wider aspirations and achievements; factors crucial for a virtuous life. While applauding enquiry into the possibilities for considering physical education as a moral endeavor, the paper raises concerns about conceptual clarity in intellectual and empirical accounts of virtue. The paper concludes by advocating further research on the interrelationship between intellectual and empirical accounts of skill, evaluation of learners’ decision-making and the aims of physical education and school sport programmes. (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)

This article explores whether artificial intelligence (AI) can engage in the practice of law as an art of good and justice. It examines the historical and philosophical foundations of law as the art of promoting societal harmony and resolving moral dilemmas. The research employs critical and philosophical analysis methods integrating insights from legal scholars, ethicists, technologists, and policymakers. The study identifies AI’s potential to streamline legal processes, enhance access to justice, and reduce bias in decision-making. However, it also highlights (...) ethical challenges such as transparency, accountability, and the impact on the legal workforce. The article emphasises the importance of striking a balance between technological innovation and human values, advocating for proactive regulation and interdisciplinary cooperation to ensure the ethical development and implementation of AI in law. The results of the study highlight the transformative potential of AI in revolutionising legal practice, emphasising its capacity to streamline processes, improve access to justice, and mitigate bias. However, ethical considerations such as transparency, accountability, and the preservation of human judgment are crucial to ensuring that AI integration in law upholds fundamental principles of justice and fairness. (shrink)

ABSTRACTMost scholars agree that meaning and intelligibility are central to Heidegger’s account of Dasein and Being-in-the-world, but there is some confusion about the nature of this intelligibility. In his debate with McDowell, Dreyfus draws on phenomenologists like Heidegger to argue that there are two kinds of intelligibility: a basic, nonconceptual, practical intelligibility found in practical comportment and a conceptual, discursive intelligibility. I explore two possible ways that Dreyfus might ground this twofold account of intelligibility in Heidegger: first in (...) the distinction between the hermeneutic and apophantic “as”, and second in the presence and absence of the as-structure. I argue that neither approach succeeds because practical intelligibility is always already discursive and discursive articulation is a condition of practical comportment. (shrink)

Datafication of social life affects what society regards as knowledge. Jasanoff’s regimes of sight framework provides three ideal-type models of authorised knowing in environmental data practice. This paper applies Jasanoff's framework for analysing intelligence practice through an exploratory empirical study of crime and intelligence practitioners in a selection of police services in Australia, New Zealand, Canada and the United States. The paper argues that the ‘view from somewhere’ captures the essence of existing police intelligence practices in the (...) four countries but the ‘view from nowhere’ is emerging as a possible future for police intelligence – an approach promoted by technology companies and supported mainly by police leaders and managers. The paper investigates the challenges and limits of a shift by police from VFS to VFN in the production of intelligence; the challenges are primarily political, which threaten the dominance of police contextual knowledge over ‘scientific’ knowledge. These political challenges also have symbolic and material implications. The paper concludes that, because of these challenges, a complete shift from VFS to VFN is not likely to happen. At best the two models might co-exist with the latter subordinate to the imperatives of the former, resulting in further tension between sworn officers and civilians, organisational inertia, as well as technologies that may be under-utilised or abandoned. (shrink)

The objective of this article is to assess the impact of generative artificial intelligence (AGI) as a learning tool in clinical practice, as perceived by clinical students of human medicine. To this end, six learning activities were devised and executed, employing diverse pedagogical approaches and AGI tools, with the objective of addressing various facets of clinical practice. These included the creation of explanatory material, literature analysis, the selection of clinical cases for publication, the development of self-assessment questions, the production (...) of explanatory videos, and the creation of scientific posters. These activities were conducted during the clinical internships of the fifth year of the medical curriculum and were evaluated using both quantitative and qualitative methods. The findings indicated that the incorporation of GAI as a pedagogical instrument in the clinical training of medical students yielded a favorable influence on their motivation, self-assurance, satisfaction, competencies, and knowledge. The students identified GAI as a novel, applicable, useful, and transferable tool and expressed interest in continuing to use it in the future. However, the results also indicated that students encountered certain challenges and difficulties in utilizing GAI as a learning tool, including overconfidence, resistance, and a lack of understanding. In conclusion, this study provides empirical evidence on the use of GAI as a learning tool for undergraduate medical students' clinical practices, and contributes to the knowledge base regarding the possibilities and challenges of GAI application in higher education. (shrink)

Background There is a growing concern about artificial intelligence (AI) applications in healthcare that can disadvantage already under-represented and marginalised groups (eg, based on gender or race). Objectives Our objectives are to canvas the range of strategies stakeholders endorse in attempting to mitigate algorithmic bias, and to consider the ethical question of responsibility for algorithmic bias. Methodology The study involves in-depth, semistructured interviews with healthcare workers, screening programme managers, consumer health representatives, regulators, data scientists and developers. Results Findings reveal (...) considerable divergent views on three key issues. First, views on whether bias is a problem in healthcare AI varied, with most participants agreeing bias is a problem (which we call the bias-critical view), a small number believing the opposite (the bias-denial view), and some arguing that the benefits of AI outweigh any harms or wrongs arising from the bias problem (the bias-apologist view). Second, there was a disagreement on the strategies to mitigate bias, and who is responsible for such strategies. Finally, there were divergent views on whether to include or exclude sociocultural identifiers (eg, race, ethnicity or gender-diverse identities) in the development of AI as a way to mitigate bias. Conclusion/significance Based on the views of participants, we set out responses that stakeholders might pursue, including greater interdisciplinary collaboration, tailored stakeholder engagement activities, empirical studies to understand algorithmic bias and strategies to modify dominant approaches in AI development such as the use of participatory methods, and increased diversity and inclusion in research teams and research participant recruitment and selection. (shrink)

This chapter treats Hubert Dreyfus’ account of skilled coping as part of his wider project of demonstrating the sovereignty of practical intelligence over all other forms of intelligence. In contrast to the standard picture of human beings as essentially rational, individual agents, Dreyfus argued powerfully on phenomenological and empirical grounds that humans are fundamentally embedded, absorbed, and embodied. These commitments are present throughout Dreyfus’ philosophical writings, from his critique of Artificial Intelligence research in the 1970s and (...) 1980s to his rejection of John McDowell’s conceptualism in his 2005 APA Presidential Address. The present chapter articulates Dreyfus’ proposal for a contentless, non-mentalistic form of intentionality by contrasting his position with that of his U.C. Berkeley colleague John Searle and defending it as a plausible alternative to the so-called “Standard Story” of intentional action as the effect of an agent’s mental states. (shrink)

In academic society today, there are numerous difficulties affecting the global community. Technological developments, such as artificial intelligence (AI), have given scholars and professionals new opportunities. Additionally, they have created obstacles to maintaining academic integrity by bringing up issues with plagiarism, cheating, and falsification. Researchers and academics need to make sure that they are utilizing AI in a way that complies with academic integrity standards and ethics. AI is a set of moral principles and values that direct people's conduct (...) in the fields of academia and research. In this particular setting, we are still in the early phases of determining how the sector will evolve, what safeguards will be necessary, and how all of us—including governments—need to get ready. This research paper's goal is to examine how AI is affecting legal research and the legal profession in light of ethical principles. The purpose of the study is to examine the potential benefits and drawbacks of AI in legal research, as well as how it can affect lawyers, clients, and the legal system at large. (shrink)

Elon Musk famously predicted that an artificial intelligence superior to the smartest individual human would arrive by the year 2025. In response, Gary Marcus offered Musk a $1 million bet to the effect that he would be proved wrong. In specifying the conditions of this bet (which Musk did not take) Marcus lists the following ‘tasks that ordinary people can perform’ which, he claimed, AI will not be able to perform by the end of 2025. • Reliably drive a (...) car in a novel location that they haven’t previously encountered, even in the face of unusual circumstances like hand lettered signs, without the assistance of other humans. • Learn to ride a mountain bike off-road through forest trails. • Babysit children in an unfamiliar home and keep them safe. • Tend to the physical and psychological needs of an elderly or infirm person. Each of these tasks involves the application of practical or tacit knowledge, or what is also called ‘knowing how’, which is to say knowledge of a sort that is captured not by means of sentences or propositions or explicit rules, but rather through the expertise demonstrated in human actions. The talk addresses the puzzle that nowhere in the AI literature do we find a discussion of knowing how as a feature of human intelligence. (shrink)

Intelligent humanoid robots (IHRs) are becoming likely to be integrated into nursing practice. However, a proper integration of IHRs requires a detailed description and explanation of their essential capabilities, particularly regarding their competencies in replicating and portraying emotive functions such as empathy. Existing humanoid robots can exhibit rudimentary forms of empathy; as these machines slowly become commonplace in healthcare settings, they will be expected to express empathy as a natural function, rather than merely to portray artificial empathy as a replication (...) of human empathy. This article works with a twofold purpose: firstly, to consider the impact of artificial empathy in nursing and, secondly, to describe the influence of Affective Developmental Robotics (ADR) in anticipation of the empathic behaviour presented by artificial humanoid robots. The ADR has demonstrated that it can be one means by which humanoid nurse robots can achieve expressions of more relatable artificial empathy. This will be one of the vital models for intelligent humanoid robots currently in nurse robot development for the healthcare industry. A discussion of IHRs demonstrating artificial empathy is critical to nursing practice today, particularly in healthcare settings dense with technology. (shrink)