How to think about AI A guide for the perplexed
Book - 2025
"People are confused about what artificial intelligence is, what it can and cannot do, what is yet to come, and whether AI is good or bad for humanity and civilisation -- whether it will provide solutions to mankind's major challenges or become our gravest existential threat. There is also ongoing debate how we should regulate AI and where we should draw moral boundaries on its use. In How to Think About AI, Richard Susskind draws on his experience of working on AI since the early 1980s. For Susskind, balancing the benefits and threats of artificial intelligence -- saving humanity with and from AI -- is the defining challenge of our age. He explores the history of AI and possible scenarios for its future. His views on AI are not a...lways conventional. He positions ChatGPT and generative AI as no more than the latest chapter in the ongoing story of AI and claims we are still at the foothills of developments. He argues that to think responsibly about the impact of AI requires us to look well beyond today's technologies, suggesting that not yet invented technologies will have far greater impact on us in the 2030s than the tools we have today. This leads Susskind to discuss the possibility of conscious machines, remarkable new AI-enabled virtual worlds, and the impact of AI on the evolution of human beings" --
- Subjects
- Genres
- Informational works
- Published
-
Oxford, United Kingdom :
Oxford University Press
[2025]
- Language
- English
- Main Author
- Physical Description
- xvi, 202 pages ; 23 cm
- Bibliography
- Includes bibliographical references (pages [173]-190) and index.
- ISBN
- 9780198941927
- Personal Note
- Introduction
- Part 1. Understanding AI
- 1. The Summer of AI
- 2. On Technology
- Part 2. Thinking Differently
- 3. Process-Thinking and Outcome-Thinking
- 4. Confusions
- 5. We Don't Have the Words
- Part 3. Making AI Work
- 6. Automation, Innovation, Elimination
- 7. Radical Structural Change
- Part 4. Confronting the Risks
- 8. Categories of Risk
- 9. Harnessing AI
- Part 5. Contemplating the Future
- 10. Conscious Machines?
- 11. Coming Soon
- 12. The Great Schism
- Conclusion
- Notes
- Top Thirty AI Books
- Acknowledgements
- Publisher Acknowledgements
- Index