AIMLFeb 10, 2016

Research Priorities for Robust and Beneficial Artificial Intelligence

arXiv:1602.03506v1727 citations
Originality Synthesis-oriented
AI Analysis

It tackles the foundational problem of aligning AI development with human values for all of humanity, but is incremental as it builds on existing concerns without introducing new methods.

The paper addresses the challenge of maximizing the benefits of artificial intelligence while avoiding potential risks, proposing a set of research priorities to ensure AI remains robust and beneficial.

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. 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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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