Andrea Ferrario

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Author of a 2026 arXiv paper on auditable trustworthiness in AI lifecycle governance.

Speaks on: AI Ethics AI Governance AI Policy AI Regulation AI Risk

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Require AI systems above a capability threshold to be interpretable
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Using decision trees as an interpretable proof-of-concept model class, the methodology yields explicit trustworthiness plateaus, readable level transitions, and two simple lifecycle diagnostics: boundary margins and profile drift.
AI Verified source (Jul 17, 2026)

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