Download Pdf Human Compatible: Artificial Intelligence and the Problem of Control

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

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

• 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

Best ebook forums download ebooks Human Compatible: Artificial Intelligence and the Problem of Control by Stuart Russell (English literature)

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.

HUMAN COMPATIBLE by Stuart Russell | Kirkus Reviews
HUMAN COMPATIBLE by Stuart Russell. HUMAN COMPATIBLE. Artificial Intelligence and the Problem of Control. by Stuart Russell. Stuart J. Russell - Wikipedia
Stuart Jonathan Russell (born 1962) is a computer scientist known for his contributions to In 2016, he founded the Center for Human-Compatible Artificial Intelligence at UC Berkeley, with His book, Human Compatible: Artificial Intelligence and the Problem of Control, will be published by Viking in October 2019. Human Compatible - Stuart Russell - Artificial Intelligence and the
Read Human Compatible PDF Artificial Intelligence and the Problem of Control Ebook by Stuart Russell.ePUB / Human Compatible PDF  The AI Policy Landscape - Artificial intelligence policy, laws and
Broad Safety and Security Issues with AI, AGI, ASI and Malicious Use · Personal Privacy, Information Security, Individual Access Control and the Future of Trust .. UC Berkeley Center for Human-Compatible AI: The goal of CHAI is to develop   Human Compatible - Penguin Books
AI and the Problem of Control Profound, urgent and visionary, Human Compatible is the one book everyone needs to read to understand a future that is   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 

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