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From Sapiens to AI

From Sapiens to AI

Update: 2024-10-141
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Yuval Noah Harari’s best-selling Sapiens explored human’s extraordinary progress alongside the capacity to spin stories. In Nexus he focuses on how those stories have been shared and manipulated, and how the flow of information has made, and unmade, our world. With examples from the ancient world, to contemporary democracies and authoritarian regimes, he pits the pursuit of truth against the desire to control the narrative. And warns against the dangers of allowing AI to dominate information networks, leading to the possible end of human history.

The classicist, Professor Edith Hall, looks at how information flowed in Ancient Greece, and how the great libraries of Alexandria and Pergamon were precursors to the World Wide Web. Homer wrote about intelligent machines in his epic poetry, which suggests that the human desire for AI goes back a long way, along with the hubris about being in control. By understanding and appreciating the past, Professor Hall argues we can look more clearly at our current condition.

Madhumita Murgia is the first Artificial Intelligence Editor of the Financial Times and the author of Code Dependent: Living in the Shadow of AI. She investigates the impact AI can have on individual lives and how we interact with each other. And while there are fears that companies have unleashed exploitative technologies with little public oversight, cutting edge software has unprecedented capacity to speed up scientific discoveries.

Producer: Katy Hickman

In the discussion about the use of artificial intelligence and the effects of bias in algorithms, a contributor said that no one under the age of 40 has been able to receive a liver transplant under an algorithmic system designed to help find the recipient who would benefit the most. Over the past three UK financial years, 133 people aged 17 to 39 received transplants that were allocated to them through this system using what is called a transplant benefit score.

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From Sapiens to AI

From Sapiens to AI

BBC Radio 4