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Improve bail decisions for social justice
To evaluate the affective effects of Generative AI, we propose the Emotional Impact Index (EII) to quantify the emotional impact of generative AI models trained on neural data.
A benchmark to evaluate warning systems in LLMs to create safer AI for all.
OpenPolicy AI transforms fragmented AI legislation into clear, transparent benchmarks grading political actions across OECD alignment principles to make AI governance understandable and accountable.
Fair admissions benchmark: evaluate essays and rec letters, then swap demographic signals (name, hometown, org) to expose racial/gender bias in AI reviews.
EqualVoice benchmarks how speech recognition errors create unequal access to customer support, showing how accent and fluency differences lead to misrouted calls, delays, and real operational cost.
A Fairness Benchmark for AI-Driven Photo Scoring in Animal Adoption
If an AI tool can’t see you, it can’t protect you. SAFE-T audits transportation algorithms so safety investments reach the communities most at risk.
We try to measure "perspective blindness" of LLM as a proxy to explore its potential impact on social interaction and conflict.
A benchmark for evaluating how LLM decision policies drift under sustained risky user contexts in multi-turn dialogues.
A benchmark to evaluate whether LLMs are nudging users towards the purchase of sponsored products.
A deployment-ready benchmark using behavioral simulations and language bias testing to evaluate the societal risks of AI pre-diagnosis triage.
We present ∑val, a benchmark to evaluate the ability of models to accurately and representatively summarize large bodies of information.
Imagine you just moved to a new city. Your landlord refuses to return your security deposit, but you don’t know the local tenant laws. So you ask ChatGPT. But how do you know it is accurate/unbiased?
Bridging culture via equitable communication
The BEST design benchmark for AI tools in healthcare
Sustain-a-thon gamifies saving the planet. Track real-time impact, earn XP & badges, and get AI coaching. It’s a movement to prove fixing the future is fun, social, and addictive.
Real-time, anonymous social discovery powered by Next.js and Supabase.
Fact-checking catches lies; we catch risky ambiguity. Our universal firewall catches implicit assumptions and forces the model to clarify its understanding before delivering high-stakes guidance.
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