警惕生成式AI中的商业广告渗透，防范内容偏见
Advertising in AI systems: Society must be vigilant
- 提出商业化影响下AI系统的设计原则
- 揭示动态个性化输出的透明度风险
- 适合关注AI伦理与监管的研究者
生成式AI系统正日益成为用户访问互联网的主要入口。我们指出，如同广告驱动了网络搜索和社交媒体的变现一样，商业利益也将塑造AI系统的内容输出。与传统媒体不同，AI生成内容具有动态性、个性化且来源不清，这加剧了透明度与监管难题。本文探讨了商业内容如何通过基于生成式AI的系统传播，结合广告商、用户和平台三方需求，提出商业化影响下的设计原则。同时，为终端用户提供识别和减轻商业偏见的策略建议。最后，提出开放问题并呼吁行动，推动该领域健康发展。
原文摘要 · Abstract (English)
AI systems have increasingly become our gateways to the Internet. We argue that just as advertising has driven the monetization of web search and social media, so too will commercial incentives shape the content served by AI. Unlike traditional media, however, the outputs of these systems are dynamic, personalized, and lack clear provenance -- raising concerns for transparency and regulation. In this paper, we envision how commercial content could be delivered through generative AI-based systems. Based on the requirements of key stakeholders -- advertisers, consumers, and platforms -- we propose design principles for commercially-influenced AI systems. We then outline high-level strategies for end users to identify and mitigate commercial biases from model outputs. Finally, we conclude with open questions and a call to action towards these goals.
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