在快速发展的背景下,应对极端AI风险
Yoshua Bengio1, Geoffrey Hinton2,3, Andrew Yao4
1Mila-Quebec AI Institute, Université de Montréal, Montreal, QC, Canada.
概括
应对复杂挑战的有效准备需要强有力的技术研究和开发以及适应性,积极的治理策略,以成功实施.
科学领域:
- 科学研究与开发
- 治理和政策研究
背景情况:
- 复杂的挑战需要创新的解决方案.
- 现有的准备框架可能不足.
研究的目的:
- 概述有效准备的重要组成部分.
- 强调技术和治理方面的互动.
主要方法:
- 关于研发和治理的文献审查.
- 对适应性和主动性策略的分析.
主要成果:
- 技术研究和开发至关重要.
- 适应和主动的治理对于成功的准备至关重要.
结论:
- 将技术进步与前性治理相结合,确保了准备.
- 为了应对未来的不确定性,
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