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美国的人工智能研究战略:批判性评估和政策建议
Furkan Gursoy1, Ioannis A Kakadiaris1
1Computational Biomedicine Lab, University of Houston, Houston, TX, United States.
Frontiers in big data
|August 23, 2023
概括
人工智能 (AI) 研究需要战略政策来确保持续的进步和社会利益. 本文评估了美国人工智能研发战略计划,为全球人工智能开发提供了建议.
科学领域:
- 计算机科学 计算机科学
- 技术政策 技术政策
- 人工智能的社会影响
背景情况:
- 人工智能 (AI) 的基础可以追溯到20世纪中叶,以波动的研究成果和资金为标志.
- 21世纪对人工智能的兴趣和投资增加,但持续的进步和应用加速并未得到保证.
- 问责制和社会信任对于人工智能系统的广泛采用至关重要.
研究的目的:
- 批判性地评估美国国家人工智能研发战略计划.
- 为加强人工智能研究,开发和部署战略提出可行的建议.
- 确保人工智能继续为社会利益做出贡献,并避免未来的挫折.
主要方法:
- 美国国家人工智能研发战略计划的批判性分析.
- 对历史人工智能研究和发展趋势的审查.
- 基于专家评估的政策建议的制定.
主要成果:
- 美国历来一直领导人工智能研究和开发,影响全球趋势.
- 目前的美国人工智能研发战略计划需要进行批判性评估,以确保未来的成功.
- 提出了六个关键建议,以改进人工智能研究策略.
结论:
- 展望未来的研究政策对于导航人工智能的轨迹和减轻风险至关重要.
- 战略规划对于利用人工智能应对全球挑战和促进社会利益至关重要.
- 实施拟议的建议可以在国内和国际上促进负责任的AI进步.
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