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SocialReasoning-Bench: Measuring whether AI agents act in users’ best interests

SocialReasoning-Bench: Measuring whether AI agents act in users’ best interests

Using SocialReasoning Bench, we observed a stable pattern across models—agents execute competently, but fail to consistently improve the user’s position, even with explicit instructions to optimize for user interest. The post SocialReasoning-Bench: Measuring whether AI agents act in users’ best interests appeared first on Microsoft Research.

Microsoft Research
Building realistic electric transmission grid dataset at scale: a pipeline from open dataset

Building realistic electric transmission grid dataset at scale: a pipeline from open dataset

Microsoft Research is excited to release an open dataset of approximate transmission topology of the U.S. power grid derived from publicly available data. The ability to study transmission-level power grid behavior is essential for modern power systems research. Analyses of congestion, transmission expansion, demand growth, and system resilience all depend on network models with realistic […] The post Building realistic electric transmission grid dataset at scale: a pipeline from open dataset…

Microsoft Research
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