Transparent AI Disclosure Obligations: Who, What, When, Where, Why, How

ArXiv Pub Date : 2024-03-11 DOI:10.1145/3613905.3650750
Abdallah El Ali, Karthikeya Puttur Venkatraj, Sophie Morosoli, Laurens Naudts, Natali Helberger, Pablo César
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Abstract

Advances in Generative Artificial Intelligence (AI) are resulting in AI-generated media output that is (nearly) indistinguishable from human-created content. This can drastically impact users and the media sector, especially given global risks of misinformation. While the currently discussed European AI Act aims at addressing these risks through Article 52's AI transparency obligations, its interpretation and implications remain unclear. In this early work, we adopt a participatory AI approach to derive key questions based on Article 52's disclosure obligations. We ran two workshops with researchers, designers, and engineers across disciplines (N=16), where participants deconstructed Article 52's relevant clauses using the 5W1H framework. We contribute a set of 149 questions clustered into five themes and 18 sub-themes. We believe these can not only help inform future legal developments and interpretations of Article 52, but also provide a starting point for Human-Computer Interaction research to (re-)examine disclosure transparency from a human-centered AI lens.
透明的人工智能披露义务:谁、做什么、何时、何地、为什么、如何做
生成式人工智能(AI)的进步正导致人工智能生成的媒体输出(几乎)与人类创作的内容无异。这会对用户和媒体行业产生巨大影响,尤其是考虑到全球的错误信息风险。虽然目前讨论的《欧洲人工智能法》旨在通过第 52 条的人工智能透明度义务来应对这些风险,但其解释和影响仍不明确。在这项早期工作中,我们采用了参与式人工智能方法,根据第 52 条的披露义务提出关键问题。我们与不同学科的研究人员、设计师和工程师(16 人)举办了两次研讨会,与会者使用 5W1H 框架解构了第 52 条的相关条款。我们提出了 149 个问题,分为 5 个主题和 18 个子主题。我们相信,这些问题不仅有助于为未来的法律发展和对第 52 条的解释提供信息,还能为人机交互研究提供一个起点,从以人为本的人工智能视角来(重新)审视信息披露的透明度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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