人工智能生物识别新兴政策子系统中的叙述
Patrick A Stewart1, Jeffrey K Mullins2, Thomas J Greitens3
1Department of Political Science, https://ror.org/05jbt9m15University of Arkansas, Fayetteville, AR, USA.
概括
政府对人工智能生物识别的评论揭示了政策偏好和技术不确定性. 对公共和私营部门反应的分析为人工智能治理和监管发展提供了信息.
科学领域:
- 计算机科学 计算机科学
- 公共政策 公共政策
- 信息科学 信息科学 信息科学
背景情况:
- 拜登政府通过联邦注册 (2021年10月至2022年1月) 征求公共和私营部门对生物识别技术的意见.
- 这一举措影响了"人工智能权利法案蓝图"和关于人工智能的14110号行政命令.
- 尽管随后的政府撤销了行政命令,但收集的评论为人工智能生物识别和政策提供了宝贵的见解.
研究的目的:
- 确定公众评论中讨论的关键的人工智能 (AI) 生物识别技术.
- 确定哪些机构和个人提交了意见 (RQ1).
- 分析有关AI生物识别机遇和威胁的答案的内容和情绪,按受访者类型 (RQ2-a,RQ2-b) 分类.
主要方法:
- 使用文本挖掘技术处理了130条公众评论.
- 采用定性分析来解释回复的内容和语气.
- 研究了人工智能生物识别政策子系统中参与者的语言使用和政策偏好.
主要成果:
- 确定了流行的AI生物识别技术和关键评论实体.
- 描述了关于人工智能生物识别的意见范围,突出了所感知的机会和威胁.
- 相关的受访者类型具有特定的语言使用和表达的政策偏好.
结论:
- 该分析揭示了参与者对人工智能生物识别的看法,反映了这一政策领域的新生阶段.
- 围绕人工智能生物识别技术的不确定性在利益相关者的语言和声明偏好中很明显.
- 调查结果为了解AI生物识别政策制定和利益相关方参与的动态提供了基础.
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