Something AI Should Tell You – The Case for Labelling Synthetic Content

IF 0.7 2区 哲学 Q4 ETHICS Journal of Applied Philosophy Pub Date : 2024-08-19 DOI:10.1111/japp.12758
Sarah A. Fisher
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Abstract

Synthetic content, which has been produced by generative artificial intelligence, is beginning to spread through the public sphere. Increasingly, we find ourselves exposed to convincing ‘deepfakes’ and powerful chatbots in our online environments. How should we mitigate the emerging risks to individuals and society? This article argues that labelling synthetic content in public forums is an essential first step. While calls for labelling have already been growing in volume, no principled argument has yet been offered to justify this measure (which inevitably comes with some additional costs). Rectifying that deficit, I conduct a close examination of our epistemic and expressive interests in identifying synthetic content as such. In so doing, I develop a cumulative case for social media platforms to enforce a labelling duty. I argue that this represents an important element of good platform governance, helping to shore up the integrity of our contemporary public discourse, which takes place increasingly online.
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人工智能应该告诉你的事情--合成内容标签化的理由
由人工智能生成的合成内容开始在公共领域传播。在网络环境中,我们越来越多地接触到令人信服的 "深度伪造 "和功能强大的聊天机器人。我们应该如何降低新出现的对个人和社会的风险?本文认为,在公共论坛上标注合成内容是必不可少的第一步。虽然要求贴标签的呼声日益高涨,但目前还没有任何原则性的论据来证明这一措施的合理性(这不可避免地会带来一些额外成本)。为了弥补这一不足,我仔细研究了我们在识别合成内容方面的认识和表达利益。在此过程中,我提出了社交媒体平台强制执行标签责任的累积案例。我认为,这代表了良好平台治理的一个重要元素,有助于维护我们当代公共话语的完整性,而这种话语越来越多地在网上进行。
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CiteScore
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自引率
0.00%
发文量
71
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