The One-Step Trap: pitfalls in AI research

The One-Step Trap describes a recurring error in AI research methodology. It occurs when researchers rely on a single evaluation step. Such reliance can mask underlying flaws in model behavior. The concept was detailed on a dedicated research page. Authors illustrate the trap with concrete examples. They argue for more comprehensive testing pipelines. Avoiding the trap improves reproducibility and trust. The discussion invites the community to adopt stricter evaluation standards.