| Connected Entity | Relationship Type |
Strength
(mentions)
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Documents | Actions |
|---|---|---|---|---|
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person
Amos Tversky
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Business associate |
6
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1 | |
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person
Amos Tversky
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Professional academic |
5
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This document page, marked as House Oversight evidence, appears to be an excerpt from a philosophical or scientific essay discussing the ethics of artificial intelligence, human rights, and cognitive science. It references various thought experiments (Chinese Room, Milgram) and figures (Scott Adams, Isaac Asimov, Daniel Kahneman) to explore the legal and moral distinctions between humans, hybrids, and machines. The text argues that future machines may obtain rights similar to corporations and discusses the inconsistencies in how society handles privacy and cognitive differences.
This document discusses the trade-off between accuracy and generalizability in modeling human cognition. It contrasts rational theories, which are generalizable but often inaccurate, with heuristics proposed by Kahneman and Tversky, which are accurate to human behavior but hard to generalize. The text argues for a new approach that incorporates the limitations of computational resources into rational models to better describe real-world human decision-making.
This document appears to be a page from a book or article included in House Oversight files (Bates stamped 016894). It outlines the views of cognitive scientist Tom Griffiths regarding Artificial Intelligence, 'value alignment,' and 'bounded optimality,' contrasting machine learning with human cognition and referencing psychologist Daniel Kahneman. The text argues that understanding human learning is essential for advancing AI.
This document is page 170 of a House Oversight exhibit (likely related to Jeffrey Epstein's scientific interests or funding). It contains a philosophical essay discussing the evolution of rights for humans, hybrids, and machines (AI), referencing cognitive science experiments, Isaac Asimov's laws of robotics, and the potential for machines to gain corporate-like rights. The text explores the ethical implications of facial recognition, artificial consciousness, and the unequal application of rights across biological and artificial entities.
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