Research institute · Research orgs · Est. 2023
Humane Intelligence is a U.S.-based 501(c)(3) nonprofit focused on making AI systems more accountable, responsible, and fair through participatory and adversarial evaluation. Its core approach combines (1) human-centered AI red teaming (adversarial and non-adversarial testing designed to surface vulnerabilities and limitations), (2) “bias bounties” that structure research challenges to identify and address exclusionary or biased AI outcomes, and (3) contextual (bespoke) AI evaluations intended to rigorously assess model behavior within a defined problem space.
The organization also publishes evaluation playbooks and is building open-source tooling to reduce barriers to entry for third parties who want to run their own evaluations and public-interest testing. In 2025–2026, the organization emphasized open-source release of its AI red teaming web application under an Apache 2.0 license, and it has been expanding evaluation methodologies (including an ontology/knowledge-graph oriented approach to contextual evaluation) while convening global communities of practice around evaluation, transparency, and social impact.
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Explore how open source AI red teaming can help African communities define AI risks, address local biases, and shape AI safety on their own terms.
OB-CAIE methodology paperThe ontology-based contextual AI evaluation (OB-CAIE) methodology was developed to address a lack of scientific rigor that arises from unclear testing coverage, to balance human expertise and automations, and to address a lack of reproducibility of AI evaluation testing environme
OSS AI red teamingOur open source software AI red teaming app is now available! Read more and access the repo on GitHub.
Scientific Approaches to Generative AI at the SciPy ConferenceExplore what we learned from the SciPy community about bringing scientific rigor to generative AI evaluation through contextual, measurable, and human-centered approaches.
Read our AI in Public Health Fund Pitch MaterialsWhat is the relationship between AI Evaluations and AI Safety?A look at key concepts of both and why both need funding to help ensure AI does no harm.
2026 SciPy Conference RecapHumane Intelligence's actionable insights on key conversations and takeaways at SciPy 2026.
AI Evaluations for Everyone: Bringing Human-Centered AI Evaluation to LinkedIn LearningRead about the LinkedIn Learning course from Humane Intelligence that explores how non-engineers can evaluate AI systems.
The Global Divide Over Data GovernanceWe explore three models of governance and how that applies to AI
Folie A Deux In The Machine When Models Share HallucinationsUpdates About Our Oss Ai Red Teaming App ReleaseBias Bounties on Zindi Preview: Geospatial Data and Climate RiskA blogpost about Humane Intelligence's Bias Bounty on Geospatial Data and Climate Risk
Humane Intelligence announced that its open source AI red teaming app is now available under the Apache 2.0 license (GitHub) and indicates the release timing in September 2026.
Scientific Approaches to Generative AI at the SciPy ConferenceHumane Intelligence describes its SciPy 2026 Birds of a Feather session focused on AI evaluation, including facilitated discussion about requirements for trust and evaluation of deployed systems against those requirements.
Read our AI in Public Health Fund Pitch MaterialsHumane Intelligence highlights its AI in Public Health Fund pitch-materials release as part of its AI in Public Health working group’s broader effort to explore and develop an AI public health fund.
What is the relationship between AI safety and AI evaluations?A thought-leadership post connecting AI safety concepts with AI evaluation methods (title shown on the organization’s Insights feed).
Updates about our OSS AI red teaming app releaseHumane Intelligence provides updates about its OSS AI red teaming app release timeline and related work (from its Insights feed chronology).