Braess's Paradox of Generative AI

Boaz Taitler, Omer Ben-Porat
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Abstract

ChatGPT has established Generative AI (GenAI) as a significant technological advancement. However, GenAI's intricate relationship with competing platforms and its downstream impact on users remains under-explored. This paper initiates the study of GenAI's long-term social impact resulting from the weakening network effect of human-based platforms like Stack Overflow. First, we study GenAI's revenue-maximization optimization problem. We develop an approximately optimal solution and show that the optimal solution has a non-cyclic structure. Then, we analyze the social impact, showing that GenAI could be socially harmful. Specifically, we present an analog to Braess's paradox in which all users would be better off without GenAI. Finally, we develop necessary and sufficient conditions for a regulator with incomplete information to ensure that GenAI is socially beneficial.
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生成式人工智能的布雷斯悖论
ChatGPT 已将生成式人工智能(GenAI)确立为一项重要的技术进步。然而,GenAI 与竞争平台之间错综复杂的关系及其对用户的下游影响仍未得到充分探讨。本文开始研究 GenAI 因 Stack Overflow 等基于人类的平台的网络效应减弱而产生的长期社会影响。首先,我们研究了 GenAI 的收入最大化优化问题。然后,我们分析了社会影响,表明 GenAI 可能会对社会造成危害。具体来说,我们提出了一个类似于布雷斯悖论(Braess's paradox)的问题,即如果没有GenAI,所有用户都会过得更好。最后,我们提出了监管者在信息不完全的情况下确保 GenAI 对社会有益的必要条件和充分条件。
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