Sofia Liguori
Former Google DeepMind research engineer
Resigned from Google DeepMind in October 2026 over military and surveillance AI partnerships. Her public statement and BBC interview describe her objections; Google says it reviews contracts under its policies and protects employee reporting channels.
Key arguments & positions
- Argues that military and surveillance deployments of AI require enforceable ethical limits, transparency, and employee participation.
Accomplishments
- Worked as a research engineer at Google DeepMind for three years before resigning in October 2026, according to the BBC.
Papers & key writings
Links
In the library
Nothing of theirs is filed in the hub yet. Browse the full library.
Recommended next
Hand-picked from the hub based on what Sofia Liguori covers.
Partnership on AI — resource library
Partnership on AI's open library of guidance, frameworks, and case studies on responsible AI: synthetic media, labor and the economy, AI safety, fairness, and inclusive AI development.
Why this: Also about ai safety
UC Berkeley Center for Human-Compatible AI (CHAI)
This university research center focuses on creating safe and beneficial artificial intelligence. You can read published research papers, follow recent news and blog updates, and explore opportunities to work with their team.
Why this: Also about ai safety
The Basic AI Drives
Paper by Stephen Omohundro (2008) arguing that sufficiently advanced goal-directed AI systems would tend to develop basic drives such as self-preservation, resource acquisition, and goal preservation, and discussing what those drives imply for designing safe AI. Hosted on the Self-Aware Systems site.
Why this: Also about ai safety
Yoshua Bengio
Deep learning pioneer and Turing Award winner, now focused on AI risk. His site holds papers, talks and written positions; his Google Scholar list has the full publication record, most-cited first.
Why this: Also about ai safety