Advancing AI Governance and Safety
Explore how our interdisciplinary research and cross-sector partnerships help shape AI safety, transparency, and accountability for the public good.
Building safer, more accountable AI
Building safer, more accountable AI
As AI adoption accelerates, we collaborate across sectors to manage risk. We advance responsible, human-centered, trustworthy AI through research, governance innovation, practical safety tools, and capacity-building.
Our Pillars
Research Priorities for Practical AI Governance
Our work is organized into three pillars that explore policy frameworks, evaluation methods, and ecosystem development to support informed decision-making in AI governance.
Policy Innovation and Case Studies
We develop risk-based AI governance frameworks, regulatory models, and capability evaluation protocols aligned with UNESCO, OECD, and World Bank principles to guide safe and accountable AI implementation.
Algorithmic Tools Development
We build and test technical methods such as capability evaluation, risk testing, privacy-preserving data techniques, and audit tooling to support safer deployment and more informed decision-making.
Capacity-Building and Ecosystem Development
We strengthen AI readiness through workshops, shared resources, and international research partnerships that connect experts with global leaders in AI governance.
Frequently Asked Questions
AI Governance & Safety Research is an initiative focused on responsible, human-centered, and trustworthy AI, combining governance innovation with practical tools for safety, ethics, transparency, and accountability.
AI governance refers to the policies, institutional arrangements, oversight mechanisms, and technical safeguards that shape how artificial intelligence is developed, deployed, and regulated. This ensures value creation, accountability, and risk management across the AI value chain.
Tools include benchmarks for bias/robustness/adversarial testing, XAI frameworks, ethical scoring/audit mechanisms, capability evaluation methods, and privacy-preserving data governance techniques.
Policymakers, regulators, researchers, industry leaders, higher education institutions, and civil society organizations interested in responsible AI development and governance can partner with us.
Yes. Partnership across government, industry, academe, and civil society is central to building safe, transparent, inclusive AI systems.
You can reach out to explore partnerships, training, events, and joint research. The initiative also shares a public site for connecting.
AI Governance and Safety Research
Get In Touch
For collaborations, research coordination, or inquiries, contact us and we’ll respond as soon as possible.
