Search
Browse the Ada Lovelace Institute website.
Filter by:
Active filters:
Evaluation of foundation models
What kinds of evaluation methods exist for foundation models, and what are their potential limitations?
Safe before sale
Learnings from the FDA’s model of life sciences oversight for foundation models
Going public
Exploring public participation in commercial AI labs
Emerging processes for frontier AI safety
The UK Government has published a series of voluntary safety practices for companies developing frontier AI models
Foundation models in the public sector
AI foundation models are integrated into commonly used applications and are used informally in the public sector
Working it out
Lessons from the New York City algorithmic bias audit law
Keeping an eye on AI
Approaches to government monitoring of the AI landscape
AI assurance?
Assessing and mitigating risks across the AI lifecycle
Foundation models in the public sector
A rapid review of the development and deployment of foundation models in the UK public sector
Discussion paper: Inclusive AI governance
Civil society participation in standards development
Supporting AI research ethics committees
Exploring solutions to the unique ethical risks that are emerging in association with data science and AI research.
Looking before we leap
Expanding ethical review processes for AI and data science research