SSRC Study Finds Major AI Safety Research Gaps in Healthcare, Finance, and Deployment Contexts

Social Science Research Council

A Social Science Research Council analysis of 1,178 AI safety and reliability papers published between January 2020 and March 2025 found that leading AI developers including Anthropic, Google DeepMind, Meta, Microsoft, and OpenAI concentrate their safety research heavily on pre-deployment alignment and evaluation, while post-deployment concerns such as bias receive declining attention. The study also identified significant research gaps in high-risk application domains including healthcare, finance, misinformation, hallucinations, and copyright usage. Academic institutions including Carnegie Mellon University, MIT, and Stanford show comparable research distribution patterns. For enterprise compliance teams, the findings suggest that vendor safety assurances grounded in pre-deployment testing may not adequately address risks that emerge in live production environments. Organizations deploying AI in regulated sectors such as healthcare or financial services should treat vendor safety documentation critically and supplement it with their own deployment-stage monitoring and risk controls.