Ethics of artificial intelligence

In: The international library of ethics, law and technology volume 41

Abstract

Intro -- Acknowledgments -- Contents -- Chapter 1: Introduction -- References -- Part I: Can an AI System Be Ethical? -- Chapter 2: Bias and Discrimination in Machine Decision-Making Systems -- 2.1 Introduction -- 2.2 Why Machine Failure Is More Serious -- 2.3 How Machine Learning Works -- 2.4 What Is Meant by Machine Discrimination -- 2.4.1 Fairness Through Unawareness -- 2.4.2 Individual Fairness -- 2.4.3 Counterfactual Fairness -- 2.4.4 Group Fairness -- 2.4.5 Impossibility of Fairness -- 2.5 What We Are Talking About: Example of Machine Discrimination -- 2.6 Why Machine Learning Can Discriminate -- 2.7 How Machine Discrimination Can Be Overcome -- 2.7.1 Pre-processing for Fairness -- 2.7.2 In-training for Fairness -- 2.7.3 Post-processing for Fairness -- 2.8 Conclusion -- References -- Chapter 3: Opacity, Machine Learning and Explainable AI -- 3.1 Introduction -- 3.2 Fundamentals of Trustworthy and Explainable Artificial Intelligence -- 3.3 Dimensions and Strategies for Promoting Explainablity and Interpretability -- 3.3.1 Dimensions of Explainability and Interpretability -- 3.3.2 Interpretability Strategies -- 3.4 Digging Deeper on Counterfactual Explanations -- 3.4.1 Basics of Counterfactual Explanations -- 3.4.2 Overview on Techniques for Counterfactual Explanations -- 3.5 Future Challenges for Achieving Explainable Artificial Intelligence -- 3.5.1 Multimodal Data Fusion for Improved Explainability -- 3.5.2 Reliable and Auditable Machine Learning Systems -- 3.5.3 GPAI Algorithms to Learn to Explain -- 3.6 Concluding Remarks -- References -- Chapter 4: The Moral Status of AI Entities -- 4.1 Introduction -- 4.2 Can Machines Be Moral Agents? -- 4.3 Do We Need a Mind to Attribute Moral Agency? -- 4.4 The Challenge of Responsibility -- 4.5 Artificial Moral Patients and Rights -- 4.6 Relationalist Proposals -- 4.7 Conclusion -- References.

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Buch(elektronisch)#12023

Ethics of Artificial Intelligence

In: The International Library of Ethics, Law and Technology 41

Lara, Francisco; Deckers, Jan

Lara, Francisco; Deckers, Jan

Abstract

Chapter 1: Introduction -- Part I: Can an AI System Be Ethical? -- Chapter 2: Bias and Discrimination in Machine Decision-Making Systems -- Chapter 3: Opacity, machine learning and explainable AI -- Chapter 4: The Moral Status of AI Entities -- Part II: Ethical Controversies About AI Applications -- Chapter 5: Ethics of Virtual Assistants -- Chapter 6: Ethics of Virtual Reality -- Chapter 7: Ethical Problems of the Use of Deepfakes in the Arts and Culture -- Chapter 8: Exploring the Ethics of Interaction with Care Robots -- Chapter 9: Ethics of Autonomous Weapons Systems -- Part III: The Need for AI Boundaries -- Chapter 10: Ethical Principles and Governance for AI -- Chapter 11: AI, Sustainability, and Environmental Ethics -- Chapter 12: The Singularity, Superintelligent Machines, and Mind Uploading: The Technological Future?

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Buch(gedruckt)#22023

Ethics of artificial intelligence

In: The International library of ethics, law and technology volume 41

Deckers, Jan; Lara, Francisco

Deckers, Jan; Lara, Francisco

Abstract

This book presents the reader with a comprehensive and structured understanding of the ethics of Artificial Intelligence (AI). It describes the main ethical questions that arise from the use of AI in different areas, as well as the contribution of various academic disciplines such as legal policy, environmental sciences, and philosophy of technology to the study of AI. AI has become ubiquitous and is significantly changing our lives, in many cases, for the better, but it comes with ethical challenges. These challenges include issues with the possibility and consequences of autonomous AI systems, privacy and data protection, the development of a surveillance society, problems with the design of these technologies and inequalities in access to AI technologies. This book offers specialists an instrument to develop a rigorous understanding of the main debates in emerging ethical questions around AI. The book will be of great relevance to experts in applied and technology ethics and to students pursuing degrees in applied ethics and, more specifically, in AI ethics

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