Intro -- Contents -- Series Foreword -- Acknowledgments -- 1: Mirror, Mirror, on the Wall -- The AI Hype and Fears: Mirror, Mirror, on the Wall, Who Is the Smartest of Us All? -- The Real and Pervasive Impact of AI -- The Need to Discuss Ethical and Societal Problems -- This Book -- 2: Superintelligence, Monsters, and the AI Apocalypse -- Superintelligence and Transhumanism -- Frankenstein's New Monster -- Transcendence and the AI Apocalypse -- How to Go beyond Competition Narratives and beyond the Hype -- 3: All about the Human

Is General AI Possible? Are There Fundamental Differences between Humans and Machines? -- Modernity, (Post)humanism, and Postphenomenology -- 4: Just Machines? -- Questioning the Moral Status of AI: Moral Agency and Moral Patiency -- Moral Agency -- Moral Patiency -- Toward More Practical Ethical Issues -- 5: The Technology -- What Is Artificial Intelligence? -- Different Approaches and Subfields -- Applications and Impact -- 6: Don't Forget the Data (Science) -- Machine Learning -- Data Science -- Applications -- 7: Privacy and the Other Usual Suspects -- Privacy and Data Protection

Manipulation, Exploitation, and Vulnerable Users -- Fake News, the Danger of Totalitarianism, and the Impact on Personal Relationships -- Safety and Security -- 8: A-responsible Machines and Unexplainable Decisions -- How Can and Should We Attribute Moral Responsibility? -- Transparency and Explainability -- 9: Bias and the Meaning of Life -- Bias -- The Future of Work and the Meaning of Life -- 10: Policy Proposals -- What Needs to Be Done and Other Questions Policymakers Have to Answer -- Ethical Principles and Justifications

Technological Solutions and the Question of Methods and Operationalization -- 11: Challenges for Policymakers -- Proactive Ethics: Responsible Innovation and Embedding Values in Design -- Practice Oriented and Bottom Up: How Can We Translate These to Practice? -- Toward a Positive Ethics -- Interdisciplinarity and Transdisciplinarity -- The Risk of an AI Winter and the Danger of the Mindless Use of AI -- 12: It's the Climate, Stupid! On Priorities, the Anthropocene, and Elon Musk's Car in Space -- Should AI Ethics Be Human-Centric? -- Getting Our Priorities Right

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An accessible synthesis of ethical issues raised by artificial intelligence that moves beyond hype and nightmare scenarios to address concrete questions. Artificial intelligence powers Google's search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues. Written by a philosopher of technology, AI Ethics goes beyond the usual hype and nightmare scenarios to address concrete questions. Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein's monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions: questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers. He argues for ethical practices that embed values in design, translate democratic values into practices and include a vision of the good life and the good society.

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