AI Nutrition Labels, a New Tool Measuring AI's Impact on Human Wellbeing

The MIT Media Lab's Advancing Humans with AI program, with USC's Marshall Neely Center, UC Berkeley, and the Psychology of Technology Institute, announced ImpactBench, an open research framework measuring AI's impact on human health and wellbeing, and its consumer-facing AI Nutrition Labels. ImpactBench currently evaluates frontier AI models across 800 metrics and 26 benchmarks, distilling results into at-a-glance ratings on avoiding harms like hallucination, sycophancy, and toxicity and on promoting behaviors such as user agency. Initial testing found every model performed better at avoiding harm than at promoting human flourishing, with Learning & Skill Development scoring lowest of all categories.