Governance, Ethics & Risks

Safety evaluations and red teaming proactively test AI systems to prevent harm, ensure fairness, and protect vulnerable groups, especially in high-stakes social innovation and international development contexts.

Secure enclaves and trusted execution environments protect sensitive data during computation, enabling privacy-preserving AI and data analysis in cloud systems critical for health, education, and humanitarian sectors.

Toxicity and content moderation use AI and human review to detect and manage harmful content, protecting communities and supporting safe, inclusive digital spaces across sectors.

Transparency reporting builds accountability and trust by openly sharing how AI systems are designed, deployed, and governed, especially for mission-driven organizations in health, education, and humanitarian sectors.