AI Laboratory
AI Governance
The principles that keep the Laboratory responsible: human control, transparency, and protection of people and data.
Responsible AI
Our overarching commitments.
Human Validation
Humans validate consequential outputs.
Transparency
Methods and limitations are disclosed.
Data Governance
How data is sourced, used, and protected.
Bias
Identifying and mitigating bias.
Privacy
Protecting individuals and avoiding surveillance.
Security
Securing systems and information.
Academic Integrity
Honest, disclosed use of AI in scholarship.