公众参与如何改善人工智能科学
J Nathan Matias1,2, Megan Price3
1Department of Communication, Citizens and Technology Laand staff buy-b, Cornell University, Ithaca, NY 14853.
概括
公众参与可以通过将生活经验纳入研究设计和解释来增强人工智能 (AI) 评估. 涉及不同的观点可以提高人工智能安全性和性能评估的可信性和可靠性.
科学领域:
- 计算机科学 计算机科学
- 社会科学 社会科学 社会科学
- 参与式科学 参与式科学
背景情况:
- 人工智能系统的部署越来越多,需要对其安全性和可靠性进行可靠的评估.
- 受影响的社区要求参与AI评估过程.
- 社会技术挑战源于人工智能系统适应社会环境.
研究的目的:
- 探索公众参与人工智能科学的价值.
- 提供关于如何在AI评估中吸引生活经验专家的指导.
- 解决关于人工智能研究参与方法的担忧.
主要方法:
- 审查AI评估中的社会技术挑战.
- 关于参与式科学的文献总结.
- 讨论人工智能在医疗保健,警察和社交媒体方面的案例研究.
- 对定量AI评估的五个关键阶段的分析.
主要成果:
- 公众参与可以在多个阶段改善人工智能评估:平衡,解释,测量,推断和解释.
- 吸引生活经验专家解决了人们对概括性,主观性和可靠性的担忧.
- 参与式方法为包容性人工智能研究提供了实际的物流.
结论:
- 整合公众参与加强了人工智能评估的科学严谨性.
- 参与式科学对于开发可靠的人工智能系统至关重要.
- 协作方法促进更可靠和社会相关的AI评估.
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