David Krueger 🇨🇦
Machine-learning researcher whose work covers alignment, robustness, responsible AI, coordination, and risks from advanced systems.
Mila / Université de Montréal
- Evidence items
- 2
- Toward pressure
- +0.02
- Away pressure
- −0.03
- Net attributed pressure
- -0.01
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- institutional profileDavid Krueger
Assessments involving David Krueger
David Krueger argues AI governance need not wait for a catastrophic warning shot
David Krueger argues that public understanding, labor disruption and concern among decision-makers could create pressure for AI safeguards before a fatal loss-of-control incident. He challenges catastrophe-first policy assumptions; the essay does not establish that governments have adopted effective controls.
David Krueger warns scalable oversight can create circular safety arguments
David Krueger argued that scalable oversight can become circular when a supposedly safe AI assistant is used to validate a stronger system before the assistant's own safety has been established. He favored robustly aligning simpler, human-judgeable behavior and using both unaided and AI-assisted human review as safety filters.