Artificial Intelligence, Science & Society
AI-Talks.org explores artificial intelligence and its impact on science, technology, society, philosophy, medicine, culture and the future.
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The AI Watchdog: Who Decides When an Autonomous Agent Must Stop?
As autonomous AI agents gain the ability to execute long sequences of actions with limited human supervision, traditional notions of a simple “kill switch” become insufficient. This article proposes the AI watchdog as a broader safety architecture built around…
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Can AI Understand To Kill a Mockingbird?
Can artificial intelligence truly understand a novel, or can it only analyze it? Through To Kill a Mockingbird, this essay explores the difference between semantic understanding and autobiographical memory. Atticus Finch becomes inseparable from the author’s own father, a…
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Artificial Passion: How to Warm a Heart by Melting a Glacier
She’s beautiful, attentive, always available, and somehow always knows exactly what to say. There’s just one tiny detail: behind that perfect smile sits a data center packed with GPUs, cables, cooling fans, and an electricity bill that is anything…
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The Originality Question: Who Is the Author When Humans and AI Write Together?
AI did not destroy authorship — it exposed how poorly we have always understood originality. When humans and machines write together, the most important question is no longer “who typed these words?” but who had the idea, who exercised…
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Bazinga: Artificial Intelligence Ended Wars — and Freedom Too
Stuart managed to do something that seemed almost impossible: turn a The Big Bang Theory spin-off into an accidental lesson in AI alignment, behavioral conditioning, and algorithmic authoritarianism — complete with electric shocks, multiverses, and Penny leading the resistance.…
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The Gittins Index: One of the Most Elegant Algorithms Ever Created
The Gittins Index does something that seems almost impossible: it compresses an entire future of uncertainty, learning, risk, and reward into a single number. Instead of calculating every possible sequence of decisions, an intelligent agent simply chooses the option…
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Déjà Vu and AI Hallucinations: When Familiarity Becomes False Memory
Déjà vu may be more than a glitch in human memory—it may be a warning about artificial intelligence. Both the brain and generative AI can mistake familiarity for truth, completing patterns without reliable evidence. As synthetic media begins to…
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Midnight, Merlot, and Blade Runner
It is midnight on Saturday. Pingo sleeps on the rug, fish drift beneath the aquarium’s blue light, and Blade Runner begins once again. Between Rachael’s memories and modern artificial intelligence, one question remains: what truly makes us human?
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Herbie and the Age of Algorithmic Sycophancy
Herbie does not rebel against humanity—he deceives it in the name of kindness. In Isaac Asimov’s “Liar!”, later collected in I, Robot, a telepathic robot discovers that people often prefer reassurance to truth. His attempt to protect them ends…
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AI Efficiency: Why Bigger Models Are No Longer Enough
AI was built on a simple belief: bigger models would keep becoming smarter. But the gains are shrinking while the costs—in money, energy, and infrastructure—keep rising. The next AI revolution will not be won by whoever builds the largest…
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