Articles:
- Medha Bankhwal, Ankit Bisht, Michael Chui, Roger Roberts, and Ashley van Heteren, AI for social good: Improving lives and protecting the planet, McKinsey, 2024.
- Yoshua Bengio et al., Managing extreme AI risks amid rapid progress, Science, 20 May 2024, Vol 384, Issue 6698, pp. 842-845 (arXiv)
- Jiaming Ji et al., AI Alignment: A Comprehensive Survey, arXiv:2310.19852 (website)
- Jack Stilgoe, Technological risks are not the end of the world, Science, 18 Apr 2024, Vol 384, Issue 6693.
- Nick Bostrom, Superintelligence: Paths, Dangers, Strategies, Oxford University Press, 2016. (唐澄暐譯，超智慧：AI風險的最佳解答，感電出版，2023)
- Brian Christian, The Alignment Problem: Machine Learning and Human Values, W. W. Norton & Company; 1st edition, 2020.
- Mustafa Suleyman and Michael Bhaskar, The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma, Crown, 2023.
Courses
- Fei Fang, AI Methods for Social Good, CMU.
- Dan Hendrycks, Introduction to ML Safety, Director, Center for AI Safety, 2023.
Organizations:
- Center for AI Safety
- Statement on AI Risk: Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.
- 2023 Impact Report
- Stanford Center for AI Safety
- U.S. Artificial Intelligence Safety Institute
沒有留言:
張貼留言