无意共情的软法律:解决情感识别人工智能技术的治理差距

Andrew McStay , Vian Bakir
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引用次数: 0

摘要

尽管有监管方面的努力,但在管理情感识别人工智能技术和模仿同理心的人工智能技术方面,仍存在重大的治理差距。本文提出的问题是:国际软法律机制,如道德标准,是否应该补充硬法律,以解决情感识别和移情模拟人工智能技术的治理差距?为了证明软法律可以提供详细的指导,特别是对于研究伦理委员会和相关委员会就这些技术提供建议,本文首先探讨了情感识别的法律定义,特别是在欧盟人工智能法案中,如何依赖于对情感识别的还原和面相学批评。它进一步深入到细节,系统可能被设计为有意地同情用户,但同理心也可能是无意的——或者是这些系统如何工作的有效附带。非简化的方法,避免了欧盟人工智能法案中设想的情感标签,提出了新的治理问题和对更动态性质的面相批评。本文发现,国际软法可以补充硬法,特别是当批评微妙但意义重大时,当指导本质上具有预见性时,以及当需要为开发人员提供详细建议时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Soft law for unintentional empathy: addressing the governance gap in emotion-recognition AI technologies
Despite regulatory efforts, there is a significant governance gap in managing emotion recognition AI technologies and those that emulate empathy. This paper asks: should international soft law mechanisms, such as ethical standards, complement hard law in addressing governance gaps in emotion recognition and empathy-emulating AI technologies? To argue that soft law can provide detailed guidance, particularly for research ethics committees and related boards advising on these technologies, the paper first explores how legal definitions of emotion recognition, especially in the EU AI Act, rest on reductive and physiognomic criticism of emotion recognition. It progresses to detail that systems may be designed to intentionally empathise with their users, but also that empathy may be unintentional – or effectively incidental to how these systems work. Approaches that are non-reductive and avoid labelling of emotion as conceived in the EU AI Act raises novel governance questions and physiognomic critique of a more dynamic nature. The paper finds that international soft law can complement hard law, especially when critique is subtle but significant, when guidance is anticipatory in nature, and when detailed recommendations for developers are required.
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来源期刊
Journal of responsible technology
Journal of responsible technology Information Systems, Artificial Intelligence, Human-Computer Interaction
CiteScore
3.60
自引率
0.00%
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审稿时长
168 days
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