When Helping Hurts: How Multi-Agent AI Debate Can Improve—or Degrade—Data Cleaning
New research from MIT and Stanford shows that multi-agent AI debate can significantly boost data-cleaning accuracy in some contexts while introducing harmful errors in others. The key insight: debate improves error detection but can degrade data generation. Here's what to watch for.