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Why Technologists Fail to Think of Moderation as a Virtue and Other Stories About AI - Los Angeles Review of Books
"Possible Minds 25 Ways of Looking at AI By John Brockman Published 02.19.2019 Penguin Press 320 Pages"
book  review  artificial-intelligence  risk 
8 days ago by tsuomela
Will a robot take your job? | Inside Story
"2062: The World that AI Made By Toby Walsh | Black Inc. | $34.99 | 336 pages Made by Humans: The AI Condition By Ellen Broad | Melbourne University Press | $29.99 | 277 pages The Future of Everything: Big, Audacious Ideas for a Better World By Tim Dunlop | NewSouth | $29.99 | 272 pages"
books  review  artificial-intelligence  work  labor 
september 2018 by tsuomela
Two Kinds Of Caution | Slate Star Codex
How should we deal with the risk of AI? Contrast local and global caution.
ai  artificial-intelligence  risk 
july 2017 by tsuomela
[1703.06207v1] Cooperating with Machines
"Since Alan Turing envisioned Artificial Intelligence (AI) [1], a major driving force behind technical progress has been competition with human cognition. Historical milestones have been frequently associated with computers matching or outperforming humans in difficult cognitive tasks (e.g. face recognition [2], personality classification [3], driving cars [4], or playing video games [5]), or defeating humans in strategic zero-sum encounters (e.g. Chess [6], Checkers [7], Jeopardy! [8], Poker [9], or Go [10]). In contrast, less attention has been given to developing autonomous machines that establish mutually cooperative relationships with people who may not share the machine's preferences. A main challenge has been that human cooperation does not require sheer computational power, but rather relies on intuition [11], cultural norms [12], emotions and signals [13, 14, 15, 16], and pre-evolved dispositions toward cooperation [17], common-sense mechanisms that are difficult to encode in machines for arbitrary contexts. Here, we combine a state-of-the-art machine-learning algorithm with novel mechanisms for generating and acting on signals to produce a new learning algorithm that cooperates with people and other machines at levels that rival human cooperation in a variety of two-player repeated stochastic games. This is the first general-purpose algorithm that is capable, given a description of a previously unseen game environment, of learning to cooperate with people within short timescales in scenarios previously unanticipated by algorithm designers. This is achieved without complex opponent modeling or higher-order theories of mind, thus showing that flexible, fast, and general human-machine cooperation is computationally achievable using a non-trivial, but ultimately simple, set of algorithmic mechanisms. "
paper  cooperation  machine  artificial-intelligence  machine-learning 
april 2017 by tsuomela
BBC News - A Point of View: Chess and 18th Century artificial intelligence
"An 18th Century automaton that could beat human chess opponents seemingly marked the arrival of artificial intelligence. But what turned out to be an elaborate hoax had its own sense of genius, says Adam Gopnik."
intelligence  artificial-intelligence  18c  history  chess  automation  genius  mastery  talent 
april 2013 by tsuomela
The (Future) Automation of Labor, and Some Notes on “Mind,” “Intelligence,” and the Google Singularity - uncomputing
"The use of the term “intelligence” in the fields of AI/Cognitive Science as coterminous with “mind” has always been a red herring. The problems with AI have never been about intelligence: it is obviously the case that machines have become much more intelligent than we are, if we define “intelligence” in the most usual ways: ability to do mathematics, or to access specific pieces of information, or to process complex logical constructions. But they do not have minds–or at least not human minds, or anything much like them."
artificial-intelligence  mind  intelligence  computers  technology  future  singularity 
march 2013 by tsuomela
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