This book provides a collection of ten cases for use in the middle grades that focus on many of the critical social issues we face today.

In this article, the potential for Artificial Intelligence (AI) to be appraised as an object of beauty is critically examined through the lens of philosophical thought. Tracing beauty’s evolution from Platonic ideals to contemporary interpretations, the analysis contends that AI’s emergence offers a unique illustration of beauty in the modern age. Confronting the challenge of assigning beauty to entities devoid of consciousness or emotional depth, the argument unfolds to suggest that the intricate design of AI’s algorithms and its technological advancements (...) constitute an emergent form of beauty, one inherently tied to human intellectual endeavor. The article proposes that with time, as with historical art forms, the aesthetic qualities of AI may gain broader acknowledgment, implying that technological advancements necessitate an ongoing revision of established beauty norms. The historical evolution of beauty has been traced in details, and an extended literature review has been provided, serving as the foundation for a comprehensive exploration into the potential for AI to be recognized as an object of beauty. The harmony, elegance, and problem-solving capabilities of AI algorithms have been meticulously evaluated, with a comparison made to classical elements of beauty in an effort to contextually situate AI within longstanding aesthetic traditions. Furthermore, the analysis has been extended to consider the emergence of artificial and digital beauty, alongside an investigation into the parallels drawn between divine and artificial intelligence. As part of a deeper inquiry, the possibility of human emotions, such as awe and love, being authentically directed towards AI has been scrutinized. In conclusion, a reflection has been presented on the transformative role of AI in reimagining the conceptual landscape of beauty, prompting readers to thoughtfully engage with an extended review and the philosophical and cultural implications emerging from AI’s evolving influence on the field of aesthetics. (shrink)

Artificial intelligence (AI) is becoming part of the everyday. During this transition, people’s intention to use AI technologies is still unclear and emotions such as fear are influencing it. In this paper, we focus on autonomous cars to first verify empirically the extent to which people fear AI and then examine the impact that fear has on their intention to use AI-driven vehicles. Our research is based on a systematic survey and it reveals that while individuals are largely afraid of (...) cars that are driven by AI, they are nonetheless willing to adopt this technology as soon as possible. To explain this tension, we extend our analysis beyond just fear and show that people also believe that AI-driven cars will generate many individual, urban and global benefits. Subsequently, we employ our empirical findings as the foundations of a theoretical framework meant to illustrate the main factors that people ponder when they consider the use of AI tech. In addition to offering a comprehensive theoretical framework for the study of AI technology acceptance, this paper provides a nuanced understanding of the tension that exists between the fear and adoption of AI, capturing what exactly people fear and intend to do. (shrink)

In a very short time, it is likely that we will identify many of the genetic variants underlying individual differences in intelligence. We should be prepared for the possibility that these variants are not distributed identically among all geographic populations, and that this explains some of the phenotypic differences in measured intelligence among groups. However, some philosophers and scientists believe that we should refrain from conducting research that might demonstrate the (partly) genetic origin of group differences in IQ. Many scholars (...) view academic interest in this topic as inherently morally suspect or even racist. The majority of philosophers and social scientists take it for granted that all population differences in intelligence are due to environmental factors. The present paper argues that the widespread practice of ignoring or rejecting research on intelligence differences can have unintended negative consequences. Social policies predicated on environmentalist theories of group differences may fail to achieve their aims. Large swaths of academic work in both the humanities and social sciences assume the truth of environmentalism and are vulnerable to being undermined. We have failed to work through the moral implications of group differences to prepare for the possibility that they will be shown to exist. (shrink)

Concentrating on the thought of Canada's major scientists, philosophers, and clerics - men such as William Dawson and Daniel Wilson, John Watson and W.D. LeSeur, G.M. Grant and Salem Bland - A Disciplined Intelligence begins by reconstructing the central strands of intellectual and moral orthodoxy prevalent in Anglo-Canadian colleges on the eve of the Darwinian revolution. These include Scottish common sense philosophy and the natural theology of William Paley. The destructive impact of evolutionary ideas on that orthodoxy and the major (...) exponents of the new forms of social evolution - Spencerian and Hegelian alike - are examined in detail. By the twentieth century the centre of Anglo-Canadian thought had been transformed by what had become a new, evolutionary orthodoxy. The legacy of this triumphant intellectual movement, British idealism, was immense. It helped to destroy Protestant denominationalism, provide the philosophical core of the social gospel movement, and constitute a major force behind the creation of the United Church of Canada. Throughout the nineteenth century and continuing into the twentieth, however, the moral imperative in Anglo-Canadian thought remained a constant presence. (shrink)

Is the Search for Extra Terrestrial Intelligence a genuine scientific research programme? David Lamb evaluates claims and counter-claims, and examines recent attempts to establish contact with other intelligent life forms. He considers the benefits and drawbacks of this communication, how we should communicate and whether we actually can. He also assesses competing theories on the origin of life on Earth, discoveries of former solar planets, proposals for space colonies and the consequent technical and ethical issues.

Creative Intelligence: Essays in the Pragmatic Attitude represents an attempt at intellectual cooperation. No effort has been made, however, to attain unanimity of belief nor to proffer a platform of "planks" on which there is agreement. The consensus represented lies primarily in outlook, in conviction of what is most likely to be fruitful in method of approach. As the title page suggests, the volume presents a unity in attitude rather than a uniformity in results. Consequently each writer is definitively responsible (...) only for his own essay. The reader will note that the Essays endeavor to embody the common attitude in application to specific fields of inquiry which have been historically associated with philosophy rather than as a thing by itself. Beginning with philosophy itself, subsequent contributions discuss its application to logic, to mathematics, to physical science, to psychology, to ethics, to economics, and then again to philosophy itself in conjunction with esthetics and religion. The reader will probably find that the significant points of agreement have to do with the ideas of the genuineness of the future, of intelligence as the organ for determining the quality of that future so far as it can come within human control, and of a courageously inventive individual as the bearer of a creatively employed mind. (shrink)

Is the Search for Extra Terrestrial Intelligence a genuine scientific research programme? David Lamb evaluates claims and counter-claims, and examines recent attempts to establish contact with other intelligent life forms. He considers the benefits and drawbacks of this communication, how we should communicate and whether we actually can. He also assesses competing theories on the origin of life on Earth, discoveries of former solar planets, proposals for space colonies and the consequent technical and ethical issues.

Ongoing hostilities between evolution and intelligent design adherents reveal deeper epistemological and ethical crises in American life. First, when adjudicating sociopolitical differences among people, how much epistemological “diversity” can be embraced before the very canons of judgment become suspect? Pragmatist notions of inquiry, warranted assertability, and pluralism can help strike a better balance. Second, the related crisis of factionalized “communities” might be addressed, along Deweyan lines, by the construction of a philosophical “total attitude” redolent of democratic ideals, more (...) broadly conceived. This attitude could grow out of reconstructed educational methods that train imaginative and interactive habits of inquiry and communication. (shrink)

Neosentience, a potentially new branch of scientific inquiry related to artificial intelligence, was first suggested in a paper by Bill Seaman as part of a new embodied robotic paradigm, arising out of ongoing theoretical research with Otto E. Rossler. Seaman, artist-researcher, and Rossler, theoretical biologist and physicist, have been examining the potential of generating an intelligent, embodied, multimodal sensing and computational robotic system. Although related to artificial intelligence the goal of this system is the creation of an entity (...) exhibiting a new form of sentience. Its unique qualities will be discussed. Sentience is not yet used in the formal languages of either cognitive science or artificial intelligence. Two related approaches are (1) the generation of artificial minds via parallel processing, in a robotic system; (2) an alternative approach is the generation of an electrochemical computer as a robotic system. Biomimetics, along with state-of-the-art computer visualization is employed. The electrochemical paradigm has a complexity that exceeds standard computational means. The scientific and the poetic elements of the project are motivated by human sentience. The sentient entity is initially modelled on our functional definition of human sentience. The system involves synthetic drives as a new element. We seek to articulate the differences to living brains. This transdisciplinary approach necessitates different forms of inquiry to inform this project such as cognitive science including psychology, education/learning, neuroscience, linguistics, philosophy, anthropology, biology and the arts. We believe that this area of research to be of importance. (shrink)

Could an artificial intelligence become a legal person? As of today, this question is only theoretical. No existing computer program currently possesses the sort of capacities that would justify serious judicial inquiry into the question of legal personhood. The question is nonetheless of some interest. Cognitive science begins with the assumption that the nature of human intelligence is computational, and therefore, that the human mind can, in principle, be modelled as a program that runs on a computer. Artificial intelligence (...) (AI) research attempts to develop such models. But even as cognitive science has displaced behavioralism as the dominant paradigm for investigating the human mind, fundamental questions about the very possibility of artificial intelligence continue to be debated. This Essay explores those questions through a series of thought experiments that transform the theoretical question whether artificial intelligence is possible into legal questions such as, "Could an artificial intelligence serve as a trustee?" What is the relevance of these legal thought experiments for the debate over the possibility of artificial intelligence? A preliminary answer to this question has two parts. First, putting the AI debate in a concrete legal context acts as a pragmatic Occam's razor. By reexamining positions taken in cognitive science or the philosophy of artificial intelligence as legal arguments, we are forced to see them anew in a relentlessly pragmatic context. Philosophical claims that no program running on a digital computer could really be intelligent are put into a context that requires us to take a hard look at just what practical importance the missing reality could have for the way we speak and conduct our affairs. In other words, the legal context provides a way to ask for the "cash value" of the arguments. The hypothesis developed in this Essay is that only some of the claims made in the debate over the possibility of AI do make a pragmatic difference, and it is pragmatic differences that ought to be decisive. Second, and more controversially, we can view the legal system as a repository of knowledge-a formal accumulation of practical judgments. The law embodies core insights about the way the world works and how we evaluate it. Moreover, in common-law systems judges strive to decide particular cases in a way that best fits the legal landscape-the prior cases, the statutory law, and the constitution. Hence, transforming the abstract debate over the possibility of AI into an imagined hard case forces us to check our intuitions and arguments against the assumptions that underlie social decisions made in many other contexts. By using a thought experiment that explicitly focuses on wide coherence, we increase the chance that the positions we eventually adopt will be in reflective equilibrium with our views about related matters. In addition, the law embodies practical knowledge in a form that is subject to public examination and discussion. Legal materials are published and subject to widespread public scrutiny and discussion. Some of the insights gleaned in the law may clarify our approach to the artificial intelligence debate. (shrink)

Plant and animal species are information-processing entities of such complexity, integration, and adaptive competence that it may be scientifically fruitful to consider them intelligent. The possibility arises from the analogy between learning and evolution, and from recent developments in evolutionary science, psychology and cognitive science. Species are now described as spatiotemporally localized individuals in an expanded hierarchy of biological entities. Intentional and cognitive abilities are now ascribed to animal, human, and artificial intelligence systems that process information adaptively, and that (...) manifest problem-solving abilities. The structural and functional similarities between such systems and species are extensive, although they “are usually obscured by population-genetic metaphors that have nonetheless contributed much to our understanding of evolution.In this target article, I use Sewall Wright's notion of the “adaptive landscape” to compare the performances of evolving species to those of intelligent organisms. With regard to their adaptive achievements and the kinds of processes by which they are achieved, biological species compare very favorably to intelligent animals by virtue of interactions between populations and their environments, between ontogeny and phylogeny, and between natural, interdemic, organic, and species selection. Addressing the question of whether species are intelligent could help to refine our ideas about species, evolution, and intelligence, and could open new lines of empirical and theoretical inquiry in many disciplines. (shrink)

Many scholars make a very clear distinction between intelligence and consciousness. Let’s take one of the most famous today, Israeli history Professor, Yuval Noah Harari, the author of Sapiens and Homo Deus. In his 2018 book, 21 lessons for the twenty-first century, he writes that, “intelligence and consciousness are very different things. Intelligence is the ability to solve problems. Consciousness is the ability to feel things such as pain, joy, love, and anger.”.

Semantic Engines: An Introduction to Mind Design, John C. Haugeland; Computer Science as Empirical Inquiry: Symbols and Search, Alan Newell and Herbert A. Simon; Complexity and the Study of Artificial and Human Intelligence, Zenon Pylyshyn; A Framework for Representing Knowledge, Marvin Minsky; Artificial Intelligence---A Personal View, David Marr; Artificial Intelligence Meets Natural Stupidity, Drew McDermott; From Micro-Worlds to Knowledge Representation: AI at an Impasse, Hubert L. Dreyfus; Reductionism and the Nature of Psychology, Hilary Putnam; Intentional Systems, Daniel C. Dennett; (...) The Nature and Plausibility of Cognitivism, John C. Haugeland; Minds, Brains, and Programs, John R. Searle; MethodologicalSolipsism Considered as a Research Strategy in Cognitive Psychology, Jerry A. Fodor; The Material Mind, Donald Davidson. (shrink)

'Davidson, aside from being one of the most influential philosophers of the last century, shares with many of his generation a capacity to write intelligibly.' -The Philosophers' MagazineDonald Davidson presents a new edition of the 1984 volume which set out his enormously influential philosophy of language. Inquiries into Truth and Interpretation has been a central point of reference and a focus of controversy in the subject ever since, and its influence has extended into linguistic theory, philosophy of mind, and epistemology. (...) The central question which these essays address is what it is for words to mean what they do. This new edition features an additional essay, previously uncollected. 'a classic in its field.' P. F. Strawson. (shrink)

I argue for an interpretation of the connection between Descartes’ early mathematics and metaphysics that centers on the standard of geometrical intelligibility that characterizes Descartes’ mathematical work during the period 1619 to 1637. This approach remains sensitive to the innovations of Descartes’ system of geometry and, I claim, sheds important light on the relationship between his landmark Geometry and his first metaphysics of nature, which is presented in Le monde. In particular, I argue that the same standard of clear and (...) distinct motions for construction that allows Descartes to distinguish ‘geometric’ from ‘imaginary’ curves in the domain of mathematics is adopted in Le monde as Descartes details God’s construction of nature. I also show how, on this interpretation, the metaphysics of Le monde can fruitfully be brought to bear on Descartes’ attempted solution to the Pappus problem, which he presents in Book I of the Geometry. My general goal is to show that attention to the standard of intelligibility Descartes invokes in these different areas of inquiry grants us a richer view of the connection between his early mathematics and philosophy than an approach that assumes a common method is what binds his work in these domains together.Keywords: René Descartes; Geometry; Mathematics; Intelligibility; Metaphysics. (shrink)

The article outlines the prospects of using J. Hintikka’s interrogative epistemology for modelling cognitive operations carried out by a cognizing agent to create a machine capable of full cognition. It was established that modeling is divided into two objectives: modeling the cognitive operations and modeling the strategic reasoning. Interrogative epistemology presents a solution to the first objective. It relies on a game-theoretic formal apparatus that allows one to correctly describe all types of possible moves within the framework of a particular (...) cognitive game. The second objective cannot be accomplished in a general epistemological theory framework since strategic considerations about the organization of research and even the concept of knowledge inevitably depend on the broader context of an agent’s practical activity. Therefore, interrogative epistemology does not claim a universal and complete description of the process of cognition, focusing on other tasks: primarily on identifying hidden premises that cognitive agents use in their reasoning. For the same reason, interrogative epistemology deems the possibility of the existence of a cognizing machine as formally unsubstantiated and questionable. However, arguments are given in favor of the fact that interrogative epistemology serves as an acceptable conceptual framework for clarifying the nature of the difficulties that arise with attempts to accomplish the second objective and improving the quality of philosophical discourse in the field of artificial intelligence research. The author substantiates this position by arguing that the ability to cognize presupposes the ability to perform all the essential functions that are usually called mental. (shrink)

The paper aims to formulate theoretical and methodological foundations as well as basic research questions for studying intervention of artificial intelligence in everyday life of medical and life sciences in the 21 century. It is an invitation for professional philosophical, theoretical and methodological discussion about the necessity and reality of artificial intelligence in contemporary medical/life sciences and medicine. The authors commence with a proposition of their definitions of ‘artificial intelligence’ (AI) and ‘artificial sociality’ (AS). The next section of the paper (...) deals with a review of basic trends in medical/life sciences and medicine. In what follows the authors debate two problems related to incorporation of AI in reality of current medicine. The first is the potential revision of the principles developed in western medicine; the second is the alteration of the contents and forms of medical education. The authors theorize the dynamic interplay between structural expansion and cultural contraction of medicine and life sciences in current practices of higher education and explore how this introduces an essential tension between the necessity and reality for medical professionals to work with AI. The paper shows that attending to institutional dynamics serves as a critical and timely extension of disciplinary/cross/anti-disciplinary critiques of science and medicine, not only since the current inclusion agenda of the AI in medicine may do little to address the real concerns of a medical profession in the XXI century but also because it may inadvertently undermine the institutional recognition and epistemic acceptance of new anti-disciplinary vista for studying AI per se. In conclusion the authors underline basic outcomes of the discussion and propose further routes for inquiry and research. (shrink)

While "scientism" is typically regarded as a position about the exclusive epistemic authority of science held by a certain class of "cultured despisers" of "religion", we show that only on the assumption of this sort of view do purportedly "scientific" claims made by proponents of "intelligent design" appear to lend epistemic or apologetic support to claims affirmed about God and God's action in "creation" by Christians in confessing their "faith". On the other hand, the hermeneutical strategy that better describes (...) the practice and method of Christian theologians, from the inception of theological reflection in the Christian tradition, acknowledges the epistemic authority of the best available tests for truth in areas of human inquiry such as science and history. But this strategy does not assume that such tests, whose authority must be regarded as provisional, provides authority for the warrant of affirming claims constituting the confessed "faith". By attributing theological import to claims advanced by appeal to the best available tests for truth in the practice of science, supporters of ID not only confuse the epistemic authority of these tests with the normative authority of a faith community's confessional identity, but impute to scientific tests for truth a sort of authority that even goes beyond the "methodological naturalism" against which they counterpose their claims. (shrink)

The early examples of self-directing robots attracted the interest of both scientific and military communities. Biologists regarded these devices as material models of animal tropisms. Engineers envisaged the possibility of turning self-directing robots into new “intelligent” torpedoes during World War I. Starting from World War II, more extensive interactions developed between theoretical inquiry and applied military research on the subject of adaptive and intelligent machinery. Pioneers of Cybernetics were involved in the development of goal-seeking warfare devices. But (...) collaboration occasionally turned into open dissent. Founder of Cybernetics Norbert Wiener, in the aftermath of World War II, argued against military applications of learning machines, by drawing on epistemological appraisals of machine learning techniques. This connection between philosophy of science and techno-ethics is both strengthened and extended here. It is strengthened by an epistemological analysis of contemporary machine learning from examples; it is extended by a reflection on ceteris paribus conditions for models of adaptive behaviours. (shrink)

In _Philosophical Inquiries,_ Nicholas Rescher offers his perspectives on many of the foundational concerns of philosophy and reminds us that the purpose of philosophy is to “question the questions.” Rescher sees the need to inquire as an evolutionary tool for adapting to a hostile environment and shows how philosophy has thus developed in an evolutionary fashion, building upon acquired knowledge and upon itself. In a historical thread that informs and enriches his overview, Rescher recalls the contributions of Aristotle, Plato, Plotinus, (...) Kant, Hegel, Leibniz, Laplace, Bertrand Russell, and others. Among his many topics, Rescher discusses knowledge and the unattainablity of absolutes, skepticism and its self-defeating nature, the limits of science vs. the limits of cognition, refuting reality as mind-independent, and idealism and divining our role in nature. He considers the universe and intelligence as the product of intelligent design, science and religion as non-conflicting and purposeful pursuits, and determinism and other fallacies surrounding the concept of free will. Rescher views morality in its hierarchal structure, its applicability to human coexistence, and its ontological commitment to the enhancement of value for ourselves and our world. He examines questions of authority and the problem of judging past actions or knowledge by present standards. Overall, he argues for philosophy as an unavoidable tool for rational, cogent responses to large questions. (shrink)

Robust realism is defended by developing further the account in Inquiry 42 (1999), pp. 49-78 of how human beings make things and people intelligible. Incommensurate worlds imply a violation of the principle of noncontradiction, but this violation does not have the consequences normally feared. Given our capacities to make things intelligible, some things, like human action, are most intelligible when they are understood as contradictory (e.g. free and determined). Things-in-themselves need not have contradictory features for multiple orders of nature (...) to make sense. We can coherently suppose that both Western and Chinese science give two incommensurable and complete accounts of the functioning of the human body. Since things do not have contradictory properties, we would then have to suppose that, in the case of bodies, there are two independent functional orders. If this can be true for bodies, it can be true for the orders of nature as a whole. John Haugeland's account of systems and interfaces shows us how to make sense of necessary functional components of the universe. Finally, multiple realism makes more sense than Rorty's deflationary pragmatism because it explains how things can matter. (shrink)

Intelligent algorithms together with various machine learning techniques hold a dominant position among major challenges for contemporary value sensitive design. Self-learning capabilities of current AI applications blur the causal link between programmer and computer behavior. This creates a vital challenge for the design, development and implementation of digital technologies nowadays. This paper seeks to provide an account of this challenge. The main question that shapes the current analysis is the following: What conceptual tools can be developed within the value (...) sensitive design school of thought for evaluating machine learning algorithms where the causal relation between designers and the behavior of their computer systems has been eroded? The answer to this question will be provided through two levels of investigation within the value sensitive design methodology. The first level is conceptual. Within the conceptual level, we will introduce the notion of computer intentionality and will show how this term may be used for solving an issue of non-causal relation between designer and computer system. The second level of investigation is technical. At this level the emphasis will be given to machine learning algorithms. (shrink)

Although theory and research on emotional intelligence 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)

My topic is the relation between nonsense and intelligibility, and the contrast between nonsense and falsehood which played a pivotal role in the rise of analytic philosophy. I shall pursue three lines of inquiry. First I shall briefly consider the positive case, namely linguistic understanding. Secondly, I shall consider the negative case—different breakdowns of understanding and connected forms of failure to make sense. Third, I shall criticize three important misconceptions of nonsense and unintelligibility: the austere conception of nonsense propounded (...) by the New Wittgensteinians ; the “no nonsense position” which roundly denies that there are cases of nonsense—Chomsky’s semantic anomalies or Ryle’s category mistakes–that are grammatically well-formed, without even having the potential for being used to make a truth-apt statement ; the individualistic conception of language and of semantic mistakes championed by Davidson. All three positions, I shall argue, ignore or deny combinatorial nonsense, the fact that perfectly meaningful sentence-components can be combined in a way that may be grammatical, yet without resulting in a sentence that is itself “meaningful”, i.e. endowed with linguistic sense. At a more strategic level, the first and the third position deny or ignore that natural languages are communal historical practices that go beyond idiolects and the employments of expressions in specific contexts and that are guided by semantic rules—standards for the meaningful use of words. (shrink)

In this article we develop a pragmatist-inspired notion of intelligence that should lead to a better understanding of the notion of scientific expertise. The notion of intelligence is drawn from Dewey and is therefore used here in its technical sense. Our thesis is that scientific knowledge is a necessary but not sufficient condition for scientific expertise; intelligence should also be added. Conceived of as the capacity to apply general knowledge to particulars, we reach the conclusion that intelligence is a necessary (...) requirement for scientific experts in the wake of Dewey’s logic of inquiry. In particular, we argue that an all-important task that scientific experts are asked to accomplish, and which puts their expertise to the test, is to transform indeterminate situations into problematic situations, and that such a goal can only be achieved if scientific experts succeed in paying attention to all the contingent and precarious aspects that make the situation they face unique. (shrink)

The rapid advancement of artificial intelligence has brought about significant positive changes across various sectors. However, it has also created new opportunities for cybercrime. Nigeria, in particular, has witnessed a surge in cybercriminal activities, which have had severe economic and social consequences. The paper explored the relationship between AI, cybercrime, and the underground business economy in Nigeria, focusing on the rise of fraud, identity theft, and hacking. It discussed the ethical implications of AI, cybercrime, and the underground business economy, highlighting (...) potential risks to privacy, security, and social trust, while emphasizing the ethical responsibilities of AI developers, policymakers, and stakeholders in mitigating these risks and promoting responsible AI use. The Igwebuike ethical theoretical framework was employed for the evaluation of cybercrime, and the thematic and analytical methods of inquiry were used. The paper submits that there is need for an ethical response to the challenges posed by cybercrime in Nigeria. (shrink)

Post-human technologies, such as human enhancements and artificial intelligence, blur or displace the boundaries of our common humanity. While these technologies enhance many valuable human powers, there is limited philosophical discussion as to whether and how they can also be dehumanizing? To answer this question, I start from a philosophical discussion of the concept of ‘dehumanization' and argue that it conflates three social mechanisms through which (i) human flourishing is impeded; (ii) subalterns are degraded; and (iii) automated processes replace typically (...) human activities. Furthermore, I argue in realist fashion that we should consider both the natural powers harnessed by post-human technologies and the social contexts through which the latter are designed, produced, marketed and consumed. I then illustrate my thinking with three recent inquiries that I conducted on post-human technologies’ dehumanizing potential. All three inquiries happen in the contemporary neo-liberal context, but each one foregrounds a distinct mechanism of dehumanization. (shrink)

Julia Annas proposes to shed light on the intelligence of virtue through an analogy with the intelligence of practical skills. To do so, she first aims to distinguish genuine skills and skillful actions from mere habits and routine behaviour: like skills, habits are acquired through habituation and issue in action immediately (i.e. unmediated by reasoning about what to do), but the routine behaviour in which habit issues is mindless and unintelligent, and cannot serve to establish or illuminate the intelligence of (...) virtuous action. In a second step, she argues that virtue has the same kind of intellectual structure—and is acquired through the same kind of habituation—as skill. I argue that Annas’s proposal fails at the first step: her conceptions of the rational articulacy of skill and the immediacy that characterizes its exercise in action cannot be squared. I offer an alternative conception of the intelligence of skill and its exercise that draws on Aristotle’s conception of rational capacities as two-way powers. But as a virtue is not a two-way power, virtues and skills do not share a common intellectual structure. (shrink)

Aristotle presents perception as a potentially intelligent form of cognition—a form of cognition that allows us to respond in discerning, knowing ways to a range of different situations, and develop certain theoretical insights relevant to some inquiry. But it’s not clear how we should understand the interaction between our rational and perceptual powers in these cases, or how widespread we should take their interaction to be. In this paper I argue against interpretations on which human perception would be (...) an inherently rational power. I then develop an alternative view of intelligent perception that seeks to do justice to the role Aristotle assigns nonrational uses of perception in his account of our learning, and to his emphasis on the continuity between animal and human forms of cognition. On the view I develop, our rational powers influence perception in two ways. First, they allow for a form of perception that is contemplative—that is, a form of perception that aims to work out how and what things are, and not just how things are to be responded to. Second, they afford us practical and theoretical forms of understanding that inform what we recognize perceptually, and thereby yield forms of action and insight unavailable to other animals. (shrink)

This text focuses on the idea that philosophical inquiry can be understood as a practice for social development as far as a real social development requires a qualitative change in the way society carries out its activities, such as through more progressive and more reflective attitudes and behavior by the population, the adoption of more democratic and participative social forms of organization, the use of more advanced technology, and the dissemination and circulation of more advanced forms of knowledge. Philosophical (...) inquiry is, indeed, a powerful means of spreading intelligence in all the contexts of associated life; since it enhances human intellectual potential through sound reflection both on human experiences as well as on the beliefs, understandings, values which frame and give meaning to these experiences. This practice requires and promotes contexts of shared meanings as well as contexts of social development, aiming at: clarification of ideas; construction of new meanings; and development of new interpretative perspectives of reality. In these terms it can be acknowledged as a social development device for the construction of new ideas and the transformation and emancipation of individuals and social groups as it introduces and enhances reflection in different fields of associated living. The outcomes of philosophical inquiry are, by consequence, new ideas, values, and actions that can make for a new sense of, and construct a new understanding of human experience, indicating new developmental directions to human societies. (shrink)

My topic is the relation between nonsense and intelligibility, and the contrast between nonsense and falsehood which played a pivotal role in the rise of analytic philosophy . I shall pursue three lines of inquiry. First I shall briefly consider the positive case, namely linguistic understanding . Secondly, I shall consider the negative case—different breakdowns of understanding and connected forms of failure to make sense . Third, I shall criticize three important misconceptions of nonsense and unintelligibility: the austere conception (...) of nonsense propounded by the New Wittgensteinians ; the “no nonsense position” which roundly denies that there are cases of nonsense—Chomsky’s semantic anomalies or Ryle’s category mistakes–that are grammatically well-formed, without even having the potential for being used to make a truth-apt statement ; the individualistic conception of language and of semantic mistakes championed by Davidson . All three positions, I shall argue, ignore or deny combinatorial nonsense, the fact that perfectly meaningful sentence-components can be combined in a way that may be grammatical, yet without resulting in a sentence that is itself “meaningful”, i.e. endowed with linguistic sense. At a more strategic level, the first and the third position deny or ignore that natural languages are communal historical practices that go beyond idiolects and the employments of expressions in specific contexts and that are guided by semantic rules—standards for the meaningful use of words. (shrink)

We examine the notion of inquiry and argue that philosophic inquiry is a transcendental activity. Activities, viewed as conforming to intelligible canons, applying to appropriate contexts, and directed to specifiable ends, are contrasted with their empirical descriptions. Inquiry, characterized as an internalized, continuous activity directed to an intrinsic end, and fundamentally presupposed by other activities, is considered at the levels of (1) science, (2) philosophy and (3) transcendental philosophy. We argue that (2) is a transcendental activity which (...) determines non-empirical concepts and is presupposed by (1). Alternative philosophic frameworks are grounded on hypothetical canons conceived by intelligence itself, which imply interpretations of objectivity and universality claiming validity for the community of inquirers, but they can always be rejected. We consider the possibility of categorical canons operating as second-order rules necessarily presupposed for the formulation of alternative philosophic frameworks, and (3) would be the activity of identifying, justifying and applying such transcendental canons of inquiry in general. Finally, we suggest that the only possible justification of such categorical canons would be a kind of ontological proof. Thus, a given philosophic approach reflects the transcendental activity of determining non-empirical concepts through the implementation of its fundamental regulative norms; but transcendental philosophy would determine the concept of philosophy itself through implementation of the categorical canons of inquiry in the construction of philosophic systems. (shrink)

In fragment B 18 (DK) Xenophanes asserts that ‘Not from the outset did the gods reveal all things to mortals’ but that ‘in time, as they seek, men discover better.’ The remark has been understood in different ways but is usually read as a rejection of the view of the gods as the givers of all good things and an expression of faith in the capacity of human beings to make progress through their own efforts. I argue that the ‘hymn (...) to progress’ reading of B 18 is unjustified by any other aspect of Xenophanes’ thought and at odds with his generally dour view of the intelligence and character of his fellow citizens. A detailed analysis of the fragment supports the view that Xenophanes is here rejecting belief in divine revelation through natural signs and affirming the value of historiê or inquiry in the form of travel and direct observation. (shrink)

Barring some civilisation-ending natural or man-made catastrophe, future scientists will likely incorporate fully fledged artificially intelligent agents in their ranks. Their tasks will include the conjecturing, extending and testing of hypotheses. At present human scientists have a number of methods to help them carry out those tasks. These range from the well-articulated, formal and unexceptional rules to the semi-articulated rules-of-thumb and intuitive hunches. If we are to hand over at least some of the aforementioned tasks to artificially intelligent (...) agents, we need to find ways to make explicit and ultimately formal, not to mention computable, the more obscure of the methods that scientists currently employ with some measure of success in their inquiries. The focus of this talk is a problem for which the available solutions are at best semi-articulated and far from perfect. It concerns the question of how to conjecture new hypotheses or extend existing ones such that they do not save phenomena in gerrymandered or ad hoc ways. This talk puts forward a fully articulated formal solution to this problem by specifying what it is about the internal constitution of the content of a hypothesis that makes it gerrymandered or ad hoc. In doing so, it helps prepare the ground for the delegation of a full gamut of investigative duties to the artificially intelligent scientists of the future. (shrink)

Dewey's conception of inquiry is often criticized for misdescribing the complexities of life that outstrip the reach of intelligence. This article argues that we can ascertain his subtle account of inquiry if we read it as a transformation of Aristotle's categories of knowledge: episteme, phronesis, and techne. For Dewey, inquiry is the process by which practical as well as theoretical knowledge emerges. He thus extends the contingency Aristotle attributes to ethical and political life to all domains of (...) action. Knowledge claims become experimental, the result of which makes them revisable in the context of experience. As a result, when we say a person (e.g., scientist, craftsman, or citizen) displays practical wisdom we are reading their judgments within a complex horizon, whose success as judgments require alertness and discernment of salient features in response to an uncertain environment. Contrary to his critics, he seeks to make us attuned to the world's inescapable, and sometimes, tragic complexity. (shrink)

The present paper looks at one of the most thorough articles on the intelligence of GPT, research conducted by engineers at Microsoft. Although there is a great deal of value in their work, I will argue that, for familiar philosophical reasons, their methodology, ‘Black-box Interpretability’ is wrongheaded. But there is a better way. There is an exciting and emerging discipline of ‘Inner Interpretability’ (also sometimes called ‘White-box Interpretability’) that aims to uncover the internal activations and weights of models in order (...) to understand what they represent and the algorithms they implement. In my view, a crucial mistake in Black-box Interpretability is the failure to appreciate that how processes are carried out matters when it comes to intelligence and understanding. I can’t pretend to have a full story that provides both necessary and sufficient conditions for being intelligent, but I do think that Inner Interpretability dovetails nicely with plausible philosophical views of what intelligence requires. So the conclusion is modest, but the important point in my view is seeing how to get the research on the right track. Towards the end of the paper, I will show how some of the philosophical concepts can be used to further refine how Inner Interpretability is approached, so the paper helps draw out a profitable, future two-way exchange between Philosophers and Computer Scientists. (shrink)

Providing effective care to patients and making the right decisions in difficult working environments depend on moral sensitivity. Emotional intelligence and ethical sensitivity affect nursing care. This study aimed to investigate the relationship between nursing students’ emotional intelligence and ethical sensitivity levels. The research employed a descriptive-correlational design, 201 nursing students studying at a university in the Central Anatolia region, Turkey, participated in the study. Students’ ethical sensitivity was found to be significant. The nursing students received the highest score in (...) the “Interpersonal Orientation” sub-dimension of the Moral Sensitivity Scale, while their lowest score was observed in the “Experiencing ethical dilemma” sub-dimension. The SSREIT and MMSQSN total scores of the students who willingly chose the nursing department and loved their field were found to be higher. It was found that the ethical sensitivity of nursing students was at a significant level and gender, family type, having sibling and perception of economic status affected the level of ethical sensitivity. (shrink)

This paper addresses the gap between familiar popular narratives describing Artificial Intelligence (AI), such as the trope of the killer robot, and the realistic near-future implications of machine intelligence and automation for technology policy and society. The authors conducted a series of interviews with technologists, science fiction writers, and other experts, as well as a workshop, to identify a set of key themes relevant to the near future of AI. In parallel, they led the analysis of almost 100 recent works (...) of science fiction stories with AI themes to develop a preliminary taxonomy of AI in science fiction. These activities informed the commissioning of six original works of science fiction and non-fiction response essays on the themes of “intelligence” and “justice” that were published as part of the Slate Future Tense Fiction series in 2019 and 2020. Our findings indicate that artificial intelligence remains deeply ambiguous both in the policy and cultural contexts: we struggle to define the boundaries and the agency of machine intelligence, and consequently find it difficult to govern or interact with such systems. However, our findings also suggest more productive avenues of inquiry and framing that could foster both better policy and better narratives around AI. (shrink)

The inquiry into the moral status of artificial intelligence (AI) is leading to prolific theoretical discussions. A new entity that does not share the material substrate of human beings begins to show signs of a number of properties that are nuclear to the understanding of moral agency. It makes us wonder whether the properties we associate with moral status need to be revised or whether the new artificial entities deserve to enter within the circle of moral consideration. This raises (...) the foreboding that we are at the gates of an anthropological crisis: the properties bound to moral agency have been exclusively possessed in the past by human beings and have shaped the very definition of being human. In this article, I will argue that AI does not lead us to an anthropological crisis and that, if we adhere to the history and philosophy of technology, we will notice that the debate on the moral status of AI uncritically starts from an anthropology of properties and loses sight of the relational dimension of technology. First, I will articulate three criteria for analyzing different anthropological views in philosophy of technology. Second, I will propose six anthropological models: traditional, industrial, phenomenological, postphenomenological, symmetrical, and cyborg. Third, I will show how the emergence of AI breaks with the dynamics of increased relationality in the history and philosophy of technology. I will argue that this aspect is central to debates about the moral status of AI, since it sheds light on an aspect of moral consideration that has been obscured. Finally, I will reject entirely relational approaches to moral status and propose two hybrid possibilities for rethinking it. (shrink)

Ethically significant consequences of artificially intelligent artifacts will stem from their effects on existing social relations. Artifacts will serve in a variety of socially important roles—as personal companions, in the service of elderly and infirm people, in commercial, educational, and other socially sensitive contexts. The inevitable disruptions that these technologies will cause to social norms, institutions, and communities warrant careful consideration. As we begin to assess these effects, reflection on degrees and kinds of social agency will be required to (...) make properly informed decisions concerning the deployment of artificially intelligent artifacts in important settings. The social agency of these systems is unlike a human social agency, and this paper provides a methodological framework that is more suited for inquiry into artificial social agents than conventional philosophical treatments of the concept of agency. Separate aspects and dimensions of agency can be studied without assuming that agency must always look like adult human agency. This revised approach to the agency of artifacts is conducive to progress in the topics studied by AI ethics. (shrink)

The article explores the transformative impact on human and social sciences in response to anticipated societal shifts driven by the forthcoming proliferation of artificial systems, whose intelligence will match human capabilities. Initially, it was posited that artificial intelligence (AI) would excel beyond human abilities in computational tasks and algorithmic operations, leaving creativity and humanities as uniquely human domains. However, recent advancements in large language models have significantly challenged these conventional beliefs about AI’s limitations and strengths. It is projected that, in (...) the near future, generative AI models will adeptly replicate individual qualities, desires, beliefs, opinions, and the essence of human identity and consciousness to a degree that is nearly indistinguishable from that of humans. This lends support to the connectionist approach to understanding consciousness, suggesting an inherent similarity between biological and artificial neural networks. The discussion posits two innovative areas of scientific inquiry: “mathematical anthropology” and “multi-dimensional calculus of value.” The former suggests that viewing human nature through a mathematical and calculative lens not only preserves but enriches our understanding of the complexity of anthropological experience and its perceived contradictions. The latter hypothesis explores how mathematical models could facilitate various social interactions. The advanced simulation capabilities of neural networks suggest that traditional social and political frameworks face a growing vulnerability to AI-driven manipulations. This trend underscores the urgency of developing social interaction models that incorporate explicitly defined calculative rules. In conclusion, the paper advocates for a paradigm shift in how mathematics is perceived – not merely as a tool for computation but as a foundational science for crafting sophisticated models. In conclusion, the article advocates for transitioning from perceiving mathematics solely as a science of computation to viewing it as a discipline dedicated to constructing various formalized models, thereby deepening our insight into the complexities of human and social phenomena. (shrink)

Information of high evidentiary quality plays a crucial role in forensic investigations. Research shows that information provided by witnesses and victims often provide major leads to an inquiry. As such, statements should be obtained in the shortest possible time following an incident. However, this is not achieved in many incidents due to demands on resources. This intersectional study examined the effectiveness of a chatbot (the AICI), that uses artificial intelligence (AI) and a cognitive interview (CI) to help record statements (...) following an incident. After viewing a sexual harassment video, the present study tested recall accuracy in participants using AICI compared to other tools (i.e., Free Recall, CI Questionnaire, and CI Basic Chatbot). Measuring correct items (including descriptive items) and incorrect items (errors and confabulations), it was found that the AI CI elicited more accurate information than the other tools. The implications on society include AI CI provides an alternative means of effectively and efficiently recording high-quality evidential statements from victims and witnesses. (shrink)

In everyday life, we constantly encounter and deal with useful things without pausing to inquire about the sources of their intelligibility. In Div. I of Being and Time, Heidegger undertakes just such an inquiry. According to a common reading of Heidegger's analysis, the intelligibility of our everyday encounters and dealings with useful things is ultimately constituted by practical self-understandings. In this paper, I argue that while such practical self-understandings may be sufficient to constitute the intelligibility of the tools and (...) equipment specific to many practices, these “tools of the trade” are only a small portion of the things we encounter, use, and deal with on a daily basis. Practical self-understandings cannot similarly account for the intelligibility of the more mundane things—like toothbrushes and sidewalks—used in everyday life. I consider whether an anonymous self-understanding as “one,” “anyone,” or “no one in particular” —das Man—might play this intelligibility-constituting role. In examining this possibility, another type of self-understanding comes to light: cultural identities. I show that the cultural identities into which we are “thrown,” rather than practical identities or das Man, constitute the intelligibility of the abundance of mundane things that fill our everyday lives. Finally, I spell out how this finding bears on our understanding of Heidegger's notion of authenticity. (shrink)

This paper inquiries into the complex issue of informed consent applying artificial intelligence in medical diagnostic consultations. The aim is to expose the main ethical and legal concerns of the New Health phenomenon, powered by intelligent machines. To achieve this objective, the first part of the paper analyzes ethical aspects of the alleged right to explanation, privacy, and informed consent, applying artificial intelligence in medical diagnostic consultations. This analysis is followed by a legal analysis of the limits and requirements (...) for the explainability of artificial intelligence. Followed by this analysis, recommendations for action are given in the concluding remarks of the paper. (shrink)

Imagine you are the CEO of a hospital [. . .]. Decisions are constantly being made in your organization about how to spend the organization's money. The amount of money available to spend is never adequate to pay for everything you wish you could spend it on, therefore you must set spending priorities. There are two questions you need to be able to answer . . . How should we set priorities in this organization? How do we know when we (...) are doing it well? When people seek to achieve good public policy, the result will tend to be good public policy. In a collective choice process, public‐spirited individual participants produce good public policy by deliberating—talking with each other, listening to each other's arguments, and being willing to learn and change their minds based on such dialogue. –Steven Kelman (1992: 181) Public policy scholars agree that those persons (or agencies) vested with the authority to establish health care priorities should elicit public input before making rationing decisions. The two most common approaches are (i) consultation and (ii) deliberation. Though deliberation has obvious advantages over consultation, it falters in the face of the objection that ordinary citizens lack the cognitive resources for the extended, rigorous inquiry required of them in undertaking the priority‐setting task. To overcome this objection, I propose that deliberative forums for health care rationing should be designed so that they imitate the natural pattern of human experience. The experience of deliberation should encompass both prolonged periods of less‐demanding cognitive activity, in which citizens passively receive information, and briefer periods of more‐demanding cognitive activity, in which they engage in active problem‐solving. In arguing for this thesis, I rely on two theoretical sources and one practical case study, in the following order: (i) John Dewey's metaphysics of experience, (ii) cognitive science research on schemas and frames, and (iii) the Health Care Council in São Paulo, Brazil. (shrink)

This paper discusses how John Dewey’s notion of intelligent habit could contribute to technology ethics. For Dewey, intelligent (i.e., desirable) habits are reflective – arising from inquiry into the appropriate courses of action in each situation – and flexible – easily adaptable to the changing circumstances. We should strive to develop intelligent habits as they are the best tools for the achievement of our goals and are necessary for individual and societal flourishing. I argue that Dewey’s (...) notion of intelligent habit makes it possible to identify the impact of technology on users’ identity and self-determination, advocate for the extension of user choice and malleability of technologies, and analyse the connections between the epistemic dimension of technology and users’ ability to flourish. (shrink)