Top 10 books for 2021 on human intelligence for curious AI folks

Covid gave us a chance to read—a lot! As we prepare for the holidays (and factoring in supply chain issues and shipping delays) we thought we’d share the books that have had the most influence on our ideas about the emerging human-machine community this year.

Top 10 books for 2021 on human intelligence for curious AI folks

We have to understand biological intelligence to understand artificial intelligence. We might want to find inspiration from AI and use an artificial learning algorithm to help us think about how our brains might work. We might want to make better predictions about AI’s progress and to understand what AI actually has to do to beat a human, consistency, all the time, in every circumstance. Or we might want to design an AI-enabled application so that it strikes the correct balance between augmentation and automation of human activity. These all require a deep appreciation of what is uniquely human, something that science is still working on.

Covid gave us a chance to read—a lot! As we prepare for the holidays (and factoring in supply chain issues and shipping delays) we thought we’d share the books that have had the most influence on our ideas about the emerging human-machine community this year.

Starting at the beginning—and I really do mean, the beginning at 3 billion ya—Peter Sterling’s What is Health? (2020) builds humans up from our basic biology via millions of years of evolution and explains with absolute clarity the mismatch between our biology and modern life. For curious AI folks, it opens the door to numerous inferences relevant to human-centered AI. A key concept laid out in the book is the biological root of culture and ritual, which allow strangers cohere to share knowledge and which underpins our social decision-making.

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