AI Ethics
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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.
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.
© 2020 Ascent Audio (Lydbog): 9781469078236
Udgivelsesdato
Lydbog: 7. april 2020
Bøger, der ligner AI Ethics
- Data Science John D. Kelleher, Brendan Tierney
- The Deep Learning Revolution Terrence J. Sejnowski
- Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence Kate Crawford
- Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie with Statistics Gary Smith
- Contraception: A Concise History Donna J. Drucker
- Artificial Intelligence For Dummies Luca Massaron, John Paul Mueller
- The Mind-Body Problem Jonathan Westphal
- Uberland: How Algorithms Are Rewriting the Rules of Work Alex Rosenblat
- Thinking Better: The Art of the Shortcut Marcus du Sautoy
- Game Theory: Understanding the Mathematics of Life Brian Clegg
- Mastering Logical Fallacies: The Definitive Guide to Flawless Rhetoric and Bulletproof Logic Michael Withey
- Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again Eric Topol
- The Technology Trap: Capital, Labor, and Power in the Age of Automation Carl Benedikt Frey
- Artificial You: AI and the Future of Your Mind Susan Schneider
- Maths on the Back of an Envelope: Clever ways to (roughly) calculate anything Rob Eastaway
- The Formula: How Algorithms Solve all our Problems... and Create More Luke Dormehl
- Computational Thinking Peter J. Denning, Matti Tedre
- Big Data Revolution: What farmers, doctors and insurance agents teach us about discovering big data patterns Rob Thomas, Patrick McSharry
- What to Think About Machines That Think: Today's Leading Thinkers on the Age of Machine Intelligence John Brockman
- How Smart Machines Think Sean Gerrish
- A Brief History of Intelligence: Why the Evolution of the Brain Holds the Key to the Future of AI Max Bennett
- Infinite Powers: How Calculus Reveals the Secrets of the Universe Steven Strogatz
- Democracy, Culture and the Voice of Poetry Robert Pinsky
- Rewriting the Rules of the European Economy: An Agenda for Growth and Shared Prosperity Joseph E. Stiglitz
- Ten Short Lessons in Artificial Intelligence and Robotics Peter J. Bentley
- The Metaverse: And How It Will Revolutionize Everything Matthew Ball
- The AI Delusion Gary Smith
- Seven Ways to Change the World: How To Fix The Most Pressing Problems We Face Gordon Brown
- Mission Economy: A Moonshot Guide to Changing Capitalism Mariana Mazzucato
- This Idea is Brilliant: Lost, Overlooked, and Underappreciated Scientific Concepts Everyone Should Know John Brockman
- The Creativity Code: How AI is learning to write, paint and think Marcus du Sautoy
- The Joy of X: A Guided Tour of Math, from One to Infinity Steven Strogatz
- A Hacker's Mind: How the Powerful Bend Society's Rules, and How to Bend them Back Bruce Schneier
- The Number Mysteries: A Mathematical Odyssey through Everyday Life Marcus du Sautoy
- Green Swans: The Coming Boom In Regenerative Capitalism John Elkington
- Fluke: The Math and Myth of Coincidence Joseph Mazur
- Mathematics for Human Flourishing Francis Su
- Progress: Ten Reasons to Look Forward to the Future Johan Norberg
- GDP: The World’s Most Powerful Formula and Why it Must Now Change Ehsan Masood
- The Age of AI: Artificial Intelligence and the Future of Humanity Jason Thacker
- Transcend: 9 Steps to Living Well Forever Ray Kurzweil, Terry Grossman, MD
- Game-Changer: Game Theory and the Art of Transforming Strategic Situations David McAdams
- The Digital Silk Road: China's Quest to Wire the World and Win the Future Jonathan E. Hillman
- Behavioral Economics: The Basics Philip Corr, Anke Plagnol
- Coders: Who They Are, What They Think and How They Are Changing Our World Clive Thompson
- Dark Data: Why What You Don't Know Matters David J. Hand
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