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Cover for AI Ethics

AI Ethics

43 Bedømmelse

3.9

Serier

1 af 20

Længde
4T 9M
Sprog
Engelsk
Format
Kategori

Fakta

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

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

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