Artificial Intelligence: Research directions

Researchers and deployers are working on how to evaluate trustworthiness throughout an AI system’s life cycle. NIST’s April 2026 critical-infrastructure concept note is one example of continuing work on context-specific risk practices; a proposed profile is not evidence that critical systems can safely operate without oversight.

Biomolecular prediction creates opportunities to compare computational hypotheses with laboratory observations. An important challenge is deciding which predictions deserve scarce experimental resources. Better models must be assessed for the scientific questions they answer, not only for visually plausible structures.