AI Slop Side Effect Database

The AI Slop Side Effect Database is a public research and risk-analysis resource developed by UTIE Instruments Inc. to document secondary harms caused by the proliferation of low-quality AI-generated content.

Most AI incident databases focus primarily on direct harms caused by AI systems. This database additionally records harms that arise when platforms, institutions, businesses, researchers, and users respond to large-scale AI-generated content. These include legitimate users being excluded by automated countermeasures, discrimination caused by AI-detection systems, degradation of information environments, institutional invisibility, organisational concealment of failures, and paid AI services generating low-quality outputs that impose verification, financial, and time costs on users.

Most cases include commentary by the institute's director, Naito, and the database also contains broader findings derived from patterns observed across multiple cases. Rather than serving as a simple compilation of information available on the Internet, it places particular emphasis on primary information, direct observations, research records, and practical findings that may be useful for AI governance, research, and institutional decision-making.

The database is curated largely through manual review. Because its scope is deliberately limited to side effects caused by AI slop and responses to it, it is not intended to maximise the number of entries. New cases, evidence, and findings are added on an ongoing basis as relevant incidents are identified and investigated.