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Safety & Ethics

303 summarised stories in Safety & Ethics, each linking back to the original source. Browse all topics →

Wednesday, 27 May 2026

Private analytics via zero-trust aggregation

Google Research 1 month ago

Google introduced a zero-trust private analytics system that combines cryptographic aggregation with trusted execution environments to enable on-device AI models to report performance metrics without exposing individual user data. The system uses a novel lattice-based cryptographic protocol that allows devices to submit encrypted data in a single message, eliminating the need for extended multi-round interactions, and is being deployed in Android's SafetyCore to evaluate safety model effectiveness while keeping user content strictly on-device. This multi-layered approach ensures individual data is never exposed in server memory and provides verifiable proof through TEE attestation that the aggregation protocol executes as intended.

Extending Human Intelligence Through AI

Microsoft Research 1 month ago 3 sources

Researchers argue that modern AI systems work by extending structures rooted in human cognition rather than replicating human intelligence, which explains both their capabilities like text generation and their limitations like hallucinations and compositional reasoning failures. The paper draws on phenomenology to show that language contains sedimented human understanding that AI systems learn to model, but unlike humans, AI systems lack grounded engagement with the world and cannot continually correct their expectations against reality. This perspective reframes AI safety as a system-level challenge requiring layered governance and human oversight rather than fears of autonomous superintelligence, with responsible deployment depending on treating AI as a human-governed extension rather than as an independent mind.

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