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

The Social Science Research Council released a study analyzing 1,178 AI safety and reliability papers published between January 2020 and March 2025, finding that major AI developers concentrate their safety research heavily on pre-deployment alignment and evaluation while neglecting post-deployment risks. The Real-World Gaps in AI Governance Research report examined output from leading developers including Anthropic, Google DeepMind, Meta, Microsoft, and OpenAI, as well as academic institutions such as Carnegie Mellon University, MIT, and Stanford. The study found that post-deployment concerns including bias receive declining research attention, and identified significant gaps in coverage of high-risk application domains including healthcare, finance, misinformation, hallucinations, and copyright usage.

The report reflects a broader tension in the AI safety field between the tractable problems of pre-deployment model evaluation and the more complex, context-dependent risks that emerge once systems are operating in real-world environments. Regulatory frameworks in sectors such as financial services and healthcare increasingly require organizations to demonstrate ongoing risk management throughout the AI lifecycle, not only at the point of initial deployment. The research gap documented by SSRC aligns with concerns raised by regulators in multiple jurisdictions who have noted that static pre-release testing does not capture how model behavior shifts across diverse user populations, edge cases, and adversarial conditions encountered in production.

Enterprise compliance teams deploying AI in regulated sectors should treat vendor safety documentation and pre-deployment evaluation reports as a starting point rather than a complete risk assessment. Organizations operating in healthcare or financial services should establish independent post-deployment monitoring programs that track bias, hallucination rates, and performance drift against baseline benchmarks on a defined cadence. Vendor risk assessments should include specific questions about whether safety research covers deployment-stage scenarios relevant to the organization's use case, and procurement contracts should where possible include audit rights or performance benchmarks tied to live operational conditions. Teams should also monitor whether the SSRC findings prompt updated guidance from sector regulators, as such research often informs subsequent rulemaking or supervisory expectations.