mlsanityData to 7 Oct 2026

Introduction to AI Safety, Ethics, and Society

arXiv 2411.01042 ↗First posted 1 Nov 2024cs.LG cs.AI cs.CYcited by 15

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Abstract (arXiv)

Artificial Intelligence is rapidly embedding itself within militaries, economies, and societies, reshaping their very foundations. Given the depth and breadth of its consequences, it has never been more pressing to understand how to ensure that AI systems are safe, ethical, and have a positive societal impact. This book aims to provide a comprehensive approach to understanding AI risk. Our primary goals include consolidating fragmented knowledge on AI risk, increasing the precision of core ideas, and reducing barriers to entry by making content simpler and more comprehensible. The book has been designed to be accessible to readers from diverse backgrounds. You do not need to have studied AI, philosophy, or other such topics. The content is skimmable and somewhat modular, so that you can choose which chapters to read. We introduce mathematical formulas in a few places to specify claims more precisely, but readers should be able to understand the main points without these.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Nov 2024.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 10; 2026: 5.

15 papers.

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