Search
Browse the Ada Lovelace Institute website.
Filter by:
Active filters:
Safe before sale
Learnings from the FDA’s model of life sciences oversight for foundation models
Genomics, AI and the politics of a data-first approach to medical evidence
What are the consequences of new forms of data-driven methods for health outcomes?
Emerging processes for frontier AI safety
The UK Government has published a series of voluntary safety practices for companies developing frontier AI models
Working it out
Lessons from the New York City algorithmic bias audit law
DNA.I.
Early findings and emerging questions on the use of AI in genomics
Keeping an eye on AI
Approaches to government monitoring of the AI landscape
AI assurance?
Assessing and mitigating risks across the AI lifecycle
Climate tech for all?
The equality implications of AI-for-climate solutions.
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
Exploring the role of public participation in commercial AI labs
What public participation approaches are being used by the technology sector?
AI and genomics futures
This joint project with the Nuffield Council on Bioethics explores how AI is transforming the capabilities and practice of genomic science.