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Creating Friendly AI 1.0: The Analysis and Design of Benevolent Goal Architectures

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The goal of the field of Artificial Intelligence is to understand intelligence and create a human-equivalent or transhuman mind. Beyond this lies another question—whether the creation of this mind will benefit the world; whether the AI will take actions that are benevolent or malevolent, safe or uncaring, helpful or hostile.

Creating Friendly AI describes the design features and cognitive architecture required to produce a benevolent—“Friendly”—Artificial Intelligence. Creating Friendly AI also analyzes the ways in which AI and human psychology are likely to differ, and the ways in which those differences are subject to our design decisions.

282 pages, Unknown Binding

First published January 1, 2001

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About the author

Eliezer Yudkowsky

46 books1,965 followers
Eliezer Yudkowsky is a founding researcher of the field of AI alignment and played a major role in shaping the public conversation about smarter-than-human AI. He appeared on Time magazine's 2023 list of the 100 Most Influential People In AI, was one of the twelve public figures featured in The New York Times's "Who's Who Behind the Dawn of the Modern Artificial Intelligence Movement," and has been discussed or interviewed in The New Yorker, Newsweek, Forbes, Wired, Bloomberg, The Atlantic, The Economist, The Washington Post, and many other venues.

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