Papers for

ai compliance officers

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

Differences in health advice from AI vary by access method

Challenges of Auditing: Variability in Outputs of Large Language Models for Health

Abstract: People increasingly use frontier AI models for health advice, but via different access modes (e.g., ChatGPT, ChatGPT Health, APIs) with varying settings. Here, we find systematic differences across access modes. Because evaluations typically rely on APIs while consumers interact through chatbot interfaces, these discrepancies limit evaluation validity. Our findings underscore an urgent need for model providers to enable faithful replication of consumer experiences and settings for rigorous audits.

Tue 15 SeptComputation and Language
The gist
People ask AI models for health advice through different ways like chatbots or APIs, but these different methods give different answers. The authors found that using APIs to test these models might not match what people get when they use chatbot interfaces. This means you can't fully trust current tests to show how well the AI actually works for most users. The authors say companies need to let auditors copy the exact user experience to check the AI properly.
Open → 2609.16590v1