Introduction to AI Safety, Ethics, and Society
원문 초록
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.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
A History of Philosophy in Colombia through Topic Modelling
Decoding the Black Box: Integrating Moral Imagination with Technical AI Governance
Measure of Morality: A Mathematical Theory of Egalitarian Ethics
A Metasemantic-Metapragmatic Framework for Taxonomizing Multimodal Communicative Alignment
Value Imprint: A Technique for Auditing the Human Values Embedded in RLHF Datasets
Moral Agency in Silico: Exploring Free Will in Large Language Models
토론
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