Framing the policy for a trustable AI-integrated future
READ Research Foundation is a non-profit, non-partisan think tankfocused on shaping how ethical, responsible, and accountable AI is designed, governed, and deployed. We work at the intersection of technology, data, and public policy, using structured research and real-world evidence to explore emerging AI risks and trade-offs.
Our work is built around small, mentored research teams that turn focused questions into policy-relevant insights, bridging academic thinking, practical constraints, and societal impact.
Offline, adaptive AI systems operate without real-time monitoring, making traditional oversight mechanisms ineffective. Because post-deployment intervention may be limited, governance must prioritize strong pre-deployment testing, bounded learning constraints, and built-in…
Keep readingExecutive Lay Summary Artificial intelligence systems are often evaluated based on their outputs: prediction accuracy, error rates, fairness metrics, or performance benchmarks. However, long before an AI system produces a…
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