MIT researchers introduce a technique that improves how AI systems explain their predictions, helping users assess trust in critical applications like healthcare and autonomous driving. Researchers at ...

Explainable AI model（説明可能なAIモデル）に関して、ライフサイエンス領域におけるDX/AI活用事例をご紹介しています。 What are ...

Read more about Can AI think like experts? Mapping human decision structures to guide alignment on Devdiscourse ...

In the United States: The Equal Credit Opportunity Act (ECOA) and the Fair Credit Reporting Act (FCRA) require lenders to ...

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

Transparency and explainability are only way organizations can trust autonomous AI.

What was once experimental research is now becoming operational backbone across modern energy systems. In the editorial ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Parchure, an Indian American doctoral student at Pennsylvania university, pilots an AI tool for personalizing speech therapy.