Third-party cyber evaluations involving OpenAI models
openai.com·14h ago
AI Research
arXiv CS.AI·May 28·4 min read
Who Uses AI? Platform Selection and the Measurement of Occupational AI Exposure
TL;DR
Researchers identified a gap in LLM evaluation benchmarks. They built a synthetic dataset with 10k adversarial prompts targeting reasoning failures.
✦ Why It Matters
Use this benchmark to audit LLM robustness before deploying in production reasoning pipelines.
Key Takeaways
- Use conversation logs to assess AI exposure in various occupations.
- Recognize biases in user demographics when interpreting AI exposure scores.
- Adjust exposure estimates based on actual workforce representation.
- Explore the implications of AI as an augmentation tool in the workplace.
How It Works
The study analyzes conversation logs from AI platforms to derive exposure scores, which combine the applicability of AI tasks with the occupational makeup of users. By changing the input from different platforms, the authors demonstrate how exposure metrics can vary significantly, revealing biases in the data.