02872cam a2200325 i 4500 2227558597 TxAuBib 20250605120000.0 250114s2025||||||||||||||||||||||||eng|u 2025900031 9780198941927 HRD 13.99 0198941927 HRD 13.99 TxAuBib rda Susskind, Richard E. How to think about AI [BOOK] : a guide for the perplexed / Richard Susskind. How to think about artificial intelligence. [Hardcover edition]. Oxford : Oxford University Press, [2025] ©2025. xvi, 202 pages ; 22 cm. txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index. Understanding AI. The summer of AI ; On technology -- Thinking differently. Process-thinking and outcome-thinking ; Confusions ; We don't have the words -- Making AI work. Automation, innovation, elimination ; Radical structural change -- Confronting the risks. Categories of risk ; Harnessing AI -- Contemplating the future. Conscious machines? ; Coming soon ; The great schism. "In recent years, and certainly since the launch of ChatGPT, there has been massive public and professional interest in Artificial Intelligence. But people are confused about what AI 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 confusion about 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 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 always 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 as 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, magnificent new AI-enabled virtual worlds, and the impact of AI on the evolution of biological humans.". 20250605. Artificial intelligence Popular works. Machine learning.