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The Age of AI and Our Human Future [Kissinger] - Printable Version +- MKLab (https://mklab.gr) +-- Forum: [INDEX] (https://mklab.gr/forumdisplay.php?fid=1) +--- Forum: ARTFICIAL INTELLIGENCE (AI) (https://mklab.gr/forumdisplay.php?fid=5) +---- Forum: BOOKS (https://mklab.gr/forumdisplay.php?fid=32) +----- Forum: NEW PUBLICATIONS (https://mklab.gr/forumdisplay.php?fid=110) +----- Thread: The Age of AI and Our Human Future [Kissinger] (/showthread.php?tid=1857) |
The Age of AI and Our Human Future [Kissinger] - mklabgr - 09-05-2026 The Age of AI: And Our Human Future Authors: Henry A. Kissinger, Eric Schmidt & Daniel Huttenlocher Publication date: November 2, 2021 Publisher: Little, Brown and Company The Age of AI and Our Human Future examines artificial intelligence not primarily as a technical innovation, but as a transformation in the way humanity understands knowledge, reality, power, and itself. Kissinger, Schmidt, and Huttenlocher argue that AI systems are increasingly capable of discovering patterns and producing solutions that humans may be unable to explain intuitively. Examples include AI systems producing unexpected chess strategies, identifying potential medicines, and outperforming humans in complex simulations. The important change, in their view, is therefore epistemological: humans are beginning to rely on machines that can reach useful conclusions without reasoning in ways that are fully comprehensible to us. The authors explore how this shift could reshape politics, national security, warfare, economics, online information, medicine, education, and global power. AI-enhanced military systems could alter deterrence and strategic stability, while algorithmic platforms increasingly determine what information people encounter and therefore influence their perception of reality. The book draws a historical parallel with the Enlightenment: just as reason and science transformed humanity's conception of the world, AI may create another fundamental intellectual transition. But this transition is unusual because humans may increasingly share the production of knowledge with non-human intelligences. The final concern is human identity and responsibility. If machines become better than humans at prediction, discovery and some forms of decision-making, society must decide which decisions should nevertheless remain human. The authors argue that technological development is advancing faster than the political, ethical and philosophical frameworks required to govern it. Rather than treating AI simply as another tool, they call for a broader conversation involving scientists, governments, philosophers and citizens about limits, accountability, security and what distinctly human judgment should mean in an AI-dominated world. The book is consequently less a technical guide to machine learning than a philosophical and geopolitical attempt to understand the civilization that AI may create. ( Key takeaways
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