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Dec 1, 2015 · Short-term research priorities including optimizing AI's economic impact, research in law and ethics, and computer science research for robust AI. In this section, each of these priorities will, in turn, be discussed.
Dec 1, 2015 · This article gives numerous examples (which should by no means be construed as an exhaustive list) of such worthwhile research aimed at ensuring that AI remains robust and beneficial.
Candidates include verifiability of compliance, enforceability, ability to reduce risk, ability to avoid stifling desirable technology devel-opment, likelihood of being adoped, and ability to adapt over time to changing circumstances. Computer Science Research for Robust AI.
Feb 10, 2016 · Stuart Russell (Berkeley), Daniel Dewey (FHI), Max Tegmark (MIT) Success in the quest for artificial intelligence has the potential to bring unprecedented benefits to humanity, and it is therefore worthwhile to investigate how to maximize these benefits while avoiding potential pitfalls.
Because of the great potential of AI, it is valuable to investigate how to reap its benefits while avoiding potential pitfalls. Progress in AI research makes it timely to focus re-search not only on making AI more capable, but also on maximizing the societal benefit of AI.
Oct 28, 2015 · The establishment of shared theoretical frameworks, combined with the availability of data and processing power, has yielded remarkable successes in various component tasks such as speech recognition, image classification, autonomous vehicles, machine translation, legged locomotion, and question-answering systems.
Abstract. Artificial intelligence (AI) research has explored a variety of problems and approaches since its inception, but for the last 20 years or so has been focused on the problems surrounding the construction of intelligent agents —systems that perceive and act in some environment.
