On the ethics of constructing conscious AI

• URL: http://arxiv.org/abs/2303.07439v1
• Date: Mon, 13 Mar 2023 19:36:16 GMT
• Title: On the ethics of constructing conscious AI
• Authors: Shimon Edelman
• Abstract summary: Ethics of AI came to be dominated by humanity's collective fear of its creatures. In real life, with very few exceptions, theorists working on the ethics of AI completely ignore the possibility of robots needing protection from their creators. This book chapter takes up this, less commonly considered, ethical angle of AI.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: In its pragmatic turn, the new discipline of AI ethics came to be dominated by humanity's collective fear of its creatures, as reflected in an extensive and perennially popular literary tradition. Dr. Frankenstein's monster in the novel by Mary Shelley rising against its creator; the unorthodox golem in H. Leivick's 1920 play going on a rampage; the rebellious robots of Karel \v{C}apek -- these and hundreds of other examples of the genre are the background against which the preoccupation of AI ethics with preventing robots from behaving badly towards people is best understood. In each of these three fictional cases (as well as in many others), the miserable artificial creature -- mercilessly exploited, or cornered by a murderous mob, and driven to violence in self-defense -- has its author's sympathy. In real life, with very few exceptions, things are different: theorists working on the ethics of AI completely ignore the possibility of robots needing protection from their creators. The present book chapter takes up this, less commonly considered, ethical angle of AI.

Related papers

• Human Bias in the Face of AI: The Role of Human Judgement in AI Generated Text Evaluation [48.70176791365903]
  This study explores how bias shapes the perception of AI versus human generated content. We investigated how human raters respond to labeled and unlabeled content.
  arXiv  Detail & Related papers  (2024-09-29T04:31:45Z)
• A Bibliometric View of AI Ethics Development [4.0998481751764]
  We perform a bibliometric analysis of AI Ethics literature for the last 20 years based on keyword search. We conjecture that the next phase of AI ethics is likely to focus on making AI more machine-like as AI matches or surpasses humans intellectually.
  arXiv  Detail & Related papers  (2024-02-08T16:36:55Z)
• Towards a Feminist Metaethics of AI [0.0]
  I argue that these insufficiencies could be mitigated by developing a research agenda for a feminist metaethics of AI. Applying this perspective to the context of AI, I suggest that a feminist metaethics of AI would examine: (i) the continuity between theory and action in AI ethics; (ii) the real-life effects of AI ethics; (iii) the role and profile of those involved in AI ethics; and (iv) the effects of AI on power relations through methods that pay attention to context, emotions and narrative.
  arXiv  Detail & Related papers  (2023-11-10T13:26:45Z)
• When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment [96.77970239683475]
  AI systems need to be able to understand, interpret and predict human moral judgments and decisions. A central challenge for AI safety is capturing the flexibility of the human moral mind. We present a novel challenge set consisting of rule-breaking question answering.
  arXiv  Detail & Related papers  (2022-10-04T09:04:27Z)
• Towards Artificial Virtuous Agents: Games, Dilemmas and Machine Learning [4.864819846886143]
  We show how a role-playing game can be designed to develop virtues within an artificial agent. We motivate the implementation of virtuous agents that play such role-playing games, and the examination of their decisions through a virtue ethical lens.
  arXiv  Detail & Related papers  (2022-08-30T07:37:03Z)
• AI Ethics Issues in Real World: Evidence from AI Incident Database [0.6091702876917279]
  We identify 13 application areas which often see unethical use of AI, with intelligent service robots, language/vision models and autonomous driving taking the lead. Ethical issues appear in 8 different forms, from inappropriate use and racial discrimination, to physical safety and unfair algorithm.
  arXiv  Detail & Related papers  (2022-06-15T16:25:57Z)
• Trustworthy AI: A Computational Perspective [54.80482955088197]
  We focus on six of the most crucial dimensions in achieving trustworthy AI: (i) Safety & Robustness, (ii) Non-discrimination & Fairness, (iii) Explainability, (iv) Privacy, (v) Accountability & Auditability, and (vi) Environmental Well-Being. For each dimension, we review the recent related technologies according to a taxonomy and summarize their applications in real-world systems.
  arXiv  Detail & Related papers  (2021-07-12T14:21:46Z)
• The Threat of Offensive AI to Organizations [52.011307264694665]
  This survey explores the threat of offensive AI on organizations. First, we discuss how AI changes the adversary's methods, strategies, goals, and overall attack model. Then, through a literature review, we identify 33 offensive AI capabilities which adversaries can use to enhance their attacks.
  arXiv  Detail & Related papers  (2021-06-30T01:03:28Z)
• Building Bridges: Generative Artworks to Explore AI Ethics [56.058588908294446]
  In recent years, there has been an increased emphasis on understanding and mitigating adverse impacts of artificial intelligence (AI) technologies on society. A significant challenge in the design of ethical AI systems is that there are multiple stakeholders in the AI pipeline, each with their own set of constraints and interests. This position paper outlines some potential ways in which generative artworks can play this role by serving as accessible and powerful educational tools.
  arXiv  Detail & Related papers  (2021-06-25T22:31:55Z)
• The Short Anthropological Guide to the Study of Ethical AI [91.3755431537592]
  Short guide serves as both an introduction to AI ethics and social science and anthropological perspectives on the development of AI. Aims to provide those unfamiliar with the field with an insight into the societal impact of AI systems and how, in turn, these systems can lead us to rethink how our world operates.
  arXiv  Detail & Related papers  (2020-10-07T12:25:03Z)
• Good AI for the Present of Humanity Democratizing AI Governance [0.0]
  One similarity between AI Ethics and Cyberpunk literature is that both seek to explore future social and ethical problems. We would like to advocate in this article for a more Cyberpunk way of doing AI Ethics, with a more democratic way of governance.
  arXiv  Detail & Related papers  (2020-07-08T23:50:28Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.