Organizations are making massive investments in artificial intelligence, and recent demonstrations and achievements highlight the immense potential for AI to improve organizational and human welfare. Yet realizing the potential of AI necessitates a better understanding of the various ethical issues involved with deciding to use AI, training and maintaining it, and allowing it to make decisions that have moral consequences. People want organizations using AI and the AI systems themselves to behave ethically, but ethical behavior means different things to different (...) people, and many ethical dilemmas require trade-offs such that no course of action is universally considered ethical. How should organizations using AI—and the AI itself—process ethical dilemmas where humans disagree on the morally right course of action? Though a variety of ethical AI frameworks have been suggested, these approaches do not adequately address how people make ethical evaluations of AI systems or how to incorporate the fundamental disagreements people have regarding what is and is not ethical behavior. Drawing on moral foundations theory, we theorize that a person will perceive an organization’s use of AI, its data procedures, and the resulting AI decisions as ethical to the extent that those decisions resonate with the person’s moral foundations. Since people hold diverse moral foundations, this highlights the crucial need to consider individual moral differences at multiple levels of AI. We discuss several unresolved issues and suggest potential approaches for thinking about conflicts in moral judgments concerning AI. (shrink)

In this article we present a new approach to practical artificial intelligence (AI) ethics in heavy industry, which was developed in the context of an EU Horizons 2020 multi partner project. We begin with a review of the concept of Industry 4.0, discussing the limitations of the concept, and of iterative categorization of heavy industry generally, for a practical human centered ethical approach. We then proceed to an overview of actual and potential AI ethics approaches to heavy industry, suggesting that (...) current approaches with their emphasis on broad high-level principles are not well suited to AI ethics for industry. From there we outline our own approach in two sections. The first suggests tailoring ethics to the time and space situation of the shop floor level worker from the ground up, including giving specific and evolving ethical recommendations. The second describes the ethicist’s role as an ethical supervisor immersed in the development process and interpreting between industrial and technological (tech) development partners. In presenting our approach we draw heavily on our own experiences in applying the method in the Use Cases of our project, as examples of what can be done. (shrink)

AI has become the poster child for a certain kind of thinking which holds that some technologies can become objective, independent and emergent entities which can evolve beyond the control of their creators. This thinking is not new however. It is a product of certain philosophical ideas such as materialism, a common-sense world of objective and independent objects, a correspondence theory of truth, and so forth, which are centered around the pre-eminence of science, epistemology, and logical reasoning, among others, as (...) the supremely valid modes of engaging experience. This paper aims to critically examine the synthesis of the development program for AI to be found in the writings of computer scientist John McCarthy (1927–2011). McCarthy has been called one of the founding fathers of AI. First, some of the main themes which recur in his writings from as early as the mid nineteen fifties in the Dartmouth proposal, up to his late writings, are considered. A discussion of the goals that such a program implies, follows, in terms of society’s relation with AI based technology and the nature and purpose of AI itself. These implications are arguably related to social control and are also moral. Ultimately, McCarthy’s idea that AI is and can be built upon a paradigm of reasoning and logic so as to simulate a perfectly rational abstraction of human thinking is shown to be motivated by his view that AI systems should be controlled, as servants. This understanding of human thinking is questionable, however, given current research on human irrationality, as well as on the argumentative role of reasoning. And yet, the process of development toward the unachievable goal of controllable, rational, logical AI systems, has handily come to serve as a blind for increasing techno-corporate control of society, with techno-corporate interests displacing blame for devaluations and harms caused by their push to develop the technology to AI systems which they can conveniently ‘lose control of.’. (shrink)

The collection presents a variety of promising new directions in Royce scholarship from an international group of scholars, including historical reinterpretations, explorations of Royce's ethics of loyalty and religious philosophy, and contemporary applications of his ideas in psychology, the problem of reference, neo-pragmatism, and literary aesthetics.

In this paper, we present the methodology we used in the European Horizon 2020 AI-PROFICIENT project, to evaluate the implementation of the ethical component of the project. The project is a 3-year collaboration between a university partner and industrial and tech partners, which aims to research the integration of AI services in heavy industry work settings. An AI ethics approach developed for the project has involved embedded ethical analysis of work contexts and design solutions and the generation of specific and (...) evolving ethical recommendations for partners. We have performed an ongoing evaluation and monitoring of the implementation of recommendations. We describe the quantitative results of these implementations: overall, broken down by category, and broken down by category and responsible project partner (anonymized). In parallel, we discuss the results in light of our approach and offer insights for future research into the ground-level application of ethical recommendations for AI in heavy industry. (shrink)

Contents Acknowledgements iii I. Royce and the Interpretation of His Contemporaries Introduction 1 1. Royce and Lotze 25 Introduction to Lotze. Lotze's ontology. Royce's response to Lotze. Successfull metaphysics renders experience broadly consistent without denying types of human experience. Logically testing metaphysical assumptions offers a promising methodology. The individual is not immediately given but realized through a process. The individual is not immediately given but realized through a process. Conclusion. 2. Royce and James 66 The friendship of James and Royce. (...) James's position. James summarized. Royce's response. The ‘abstract’ ideal has its pragmatic aspect. Logic can supplement pragmatism. Experience itself drives the unifying efforts of speculative philosophy. A more consistent pragmatism hypothesizes broader experience and allows an active and constructive process of response to that experience. Conclusion. 3. Royce and Bradley 108 Bradley's destruction of appearances. Bradley's construction? Royce's response - non-technical. Metaphysics is interpretively applicable to special experiential problems. In active willful attention the ethical complements the theoretical, rendering the relation of finite and absolute interpretable. Royce's response - technical development. Conclusion. 4. Royce and Whitehead 163 Statement of Whitehead's three primary presuppositions. Scheme of Whitehead's philosophy: the role of extended events. The building blocks of Whitehead's metaphysics. Process as an action within and upon experience. The process of concrescence. Consciousness and propositions in Whitehead's philosophy. Royce in comparison with Whitehead. Royce's cosmology in outline. Explicit contrast and comparison of Royce's and Whitehead's philosophies. Principles suggested by the contrast of Royce and Whitehead. II. An Extension of Royce’s Philosophy of Interpretation Preamble: The Need for a Re-Envisioned Philosophy of Interpretation 212 5. The Roycean Hypothetical Method and Its Prospects 226 The interpretation of Christianity. Metaphysical foundations of community. The synthesis and promise of Royce's insights. 6. Hyperthematics 269 Working definition. Some methodological considerations. Some general considerations. Some definitions. The foundational hypertheme and the derivatives. Hyperthematic expansion. The hyperthematic structure of the game. The hyperthematic structure of narrative. The hyperthematic structure of dance. The hyperthematic structure of music. Retrospect and prospect. 7. Hyperthematics Applied: The Corporation As a Hyperthematic Structure 339 Introduction. Restatement of the hyperthemes. The problematic of the corporation. Some exemplifications of the historical development of the corporation. Consideration of several prominent views regarding the purpose of commercial corporations. Consideration of consistency of the corporation as a hyperthematic structure. Hyperthematic reconstruction of the corporation as a community of epsionomic interpretation. Bibliography 412. (shrink)

Beginnings and the hyperthematic structures of game and narrative -- Hyperthematic structures of dance and music -- Hyperthematic expansion of light and color -- The hyperthematic structure of visual arts -- Hyperthematization of the corporation -- Expansive reconstruction of H5 to H15 -- Expansive reconstruction of the hyperthemes of light and color -- Expansive reconstruction of the hyperthemes of the visual arts.