Position: AI Lock-In Is in Progress, and We Must Be Prepared
AI safety research has mainly focused on two areas: technical alignment (ensuring AI systems produce human-aligned outputs) and the regulation of generative AI's societal impacts (including unemployment risk and labor market disruption). However, an equally important dimension remains underexplored: the risk inherent in dependence on AI systems themselves. In this position paper, we argue that AI safety research should address AI Lock-In, the pheno
By Jaeho Kim, Seokhyun Lee, Jieun Lee, Changhee Lee