{"title":"Braess's Paradox of Generative AI","authors":"Boaz Taitler, Omer Ben-Porat","doi":"arxiv-2409.05506","DOIUrl":null,"url":null,"abstract":"ChatGPT has established Generative AI (GenAI) as a significant technological\nadvancement. However, GenAI's intricate relationship with competing platforms\nand its downstream impact on users remains under-explored. This paper initiates\nthe study of GenAI's long-term social impact resulting from the weakening\nnetwork effect of human-based platforms like Stack Overflow. First, we study\nGenAI's revenue-maximization optimization problem. We develop an approximately\noptimal solution and show that the optimal solution has a non-cyclic structure.\nThen, we analyze the social impact, showing that GenAI could be socially\nharmful. Specifically, we present an analog to Braess's paradox in which all\nusers would be better off without GenAI. Finally, we develop necessary and\nsufficient conditions for a regulator with incomplete information to ensure\nthat GenAI is socially beneficial.","PeriodicalId":501316,"journal":{"name":"arXiv - CS - Computer Science and Game Theory","volume":"132 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Computer Science and Game Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.05506","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.