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Human Compatible: Artificial Intelligence and the Problem of Control. Stuart Russell

Human Compatible: Artificial Intelligence and the Problem of Control


Human-Compatible-Artificial.pdf
ISBN: 9780525687016 | 320 pages | 8 Mb

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  • Human Compatible: Artificial Intelligence and the Problem of Control
  • Stuart Russell
  • Page: 320
  • Format: pdf, ePub, fb2, mobi
  • ISBN: 9780525687016
  • Publisher: Penguin Publishing Group
Download Human Compatible: Artificial Intelligence and the Problem of Control


Ebook downloads for ipod touch Human Compatible: Artificial Intelligence and the Problem of Control FB2 DJVU PDB

A world-leading artificial intelligence researcher explains why uncontrolled superhuman AI represents an existential threat to humanity, and lays out a new approach to AI that will enable us to coexist successfully with increasingly intelligent machines In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable. In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines. He describes the near-term benefits we can expect, from intelligent personal assistants to vastly accelerated scientific research, and outlines the AI breakthroughs that still have to happen before we reach superhuman AI. He also spells out the ways humans are already finding to misuse AI, from lethal autonomous weapons to viral sabotage. If the predicted breakthroughs occur and superhuman AI emerges, we will have created entities far more powerful than ourselves. How can we ensure they never, ever, have power over us? Russell suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy. Such machines would be humble, altruistic, and committed to pursue our objectives, not theirs. This new foundation would allow us to create machines that are provably deferential and provably beneficial. In a 2014 editorial co-authored with Stephen Hawking, Russell wrote, "Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last." Solving the problem of control over AI is not just possible; it is the key that unlocks a future of unlimited promise.

UC Berkeley launches Center for Human-Compatible Artificial
UC Berkeley artificial intelligence (AI) expert Stuart Russell will lead a new Center for Human-Compatible Artificial Intelligence, launched this week. The issue, he said, is that machines as we currently design them in fields like AI, robotics, control theory and operations research take the objectives that we  Do the Right Thing: Studies in Limited Rationality (Artificial
Do the Right Thing: Studies in Limited Rationality (Artificial Intelligence Series) [ Stuart Human Compatible: Artificial Intelligence and the Problem of Control. READ [PDF] Human Compatible: Artificial Intelligence and the
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Amazon.com New Releases: The best-selling new & future releases in AI & Semantics. Human Compatible: Artificial Intelligence and the Problem of Control. Control and Responsible Innovation in the Development of AI and
working on issues and approaches related to the ethics and governance of forms of AI with those of humans was proposed by leaders within the AI research community up the Center for Human-Compatible Artificial Intelligence (CHAI) at  Building safe artificial intelligence: specification, robustness, and
In this inaugural post, we discuss three areas of technical AI safety: specification, Research into the specification problem of technical AI safety asks the . for Human-Compatible AI, 2018); Safety and Control for Artificial  Bibliography - Center for Human-Compatible AI
Preference inference - Building AI systems that learn what humans want. Moral theory - Moral issues that HCAI systems and their developers might . (2) Human -level control through deep reinforcement learning, Mnih et al. Human Compatible: AI and the Problem of Control - Stuart J. Russell
Humans dream of super-intelligent machines. But what happens if we actually succeed? Creating superior intelligence would be the biggest event in human 



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