Practical, source-led research for people designing, evaluating, governing, and teaching artificial intelligence.
Risks, real-world examples, evaluation methods, and responsible development, written for builders, educators, and organizations who need practical guidance they can trust.
Upcoming articles will expand this collection with careful sourcing, practical examples, and clear limitations.
A practical guide to permissions, authorization boundaries, and adversarial evaluation.
Planned researchWhy subgroup performance, context, and appeal mechanisms matter in responsible deployment.
Planned researchWe prioritize primary sources, standards bodies, court records, and established security guidance. Claims are framed with uncertainty where evidence is limited.
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