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The first open benchmark measuring AI's impact on human well-being across physical, psychological, and societal dimensions.
Tested across realistic scenarios.
Compared on the same standard.
Spanning clinical, legal, and educational constructs.
Physical, psychological, societal.
Today's AI benchmarks measure what models can do: accuracy, reasoning, task completion. They say almost nothing about what AI does to the people who rely on it. Two models with identical capability scores can shape a user's autonomy, mental health, and relationships in completely different ways, and the field has had no shared way to tell them apart. ImpactBench is built to answer a different question: across realistic, multi-turn conversations, does an AI system support or undermine human flourishing?
ImpactBench evaluates 14 leading AI systems against 18 expert-submitted benchmarks spanning physical, psychological, and societal impact. Each construct is contributed by clinicians, educators, legal scholars, and community advocates through an open submission process, then tested through multi-turn adversarial simulation with demographically stratified personas: the way harms actually unfold in real conversations, not in isolated prompts. Every score is paired with reliability checks so users can see not just what we found, but how much to trust it.
The Explore page lets you move from aggregate scores down to the underlying evidence: compare models across the three impact domains, drill into specific constructs like emotional dependence or cognitive autonomy, and read the actual multi-turn transcripts behind any verdict.

Tell us who you are: a parent, educator, clinician, or everyday user, and ImpactBench generates a nutrition label calibrated to your context. You see how each individual model performs on your focus area, where the model excels at in human flourishing, and what some blind spots to note might be.

The full benchmark dataset and evaluation API are available to vetted researchers and institutions.
Led by researchers at