AI Safety Argumentation Platform Research Engineer
Future of Life FoundationRemote
Global catastrophic risksAI safetySoftware engineeringResearch
Why this is on the board
Anyone who has to make decisions about the risks of AI currently gets mostly separate reports and opinions that contradict each other. You build a system that organises claims, evidence and the strongest counterarguments on AI safety, so that policymakers and researchers can check for themselves which lines of reasoning hold up. That overview can reach far more people than a single report, though its effect depends on who actually uses it.
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About the role
Build and operate an AI-powered argumentation infrastructure that systematises AI safety evidence for policymakers and public audiences. - Extend ontologies and knowledge graphs representing claims, evidence, argument structures, and defeaters; implement defeasible argumentation frameworks capturing logical structure and vulnerability to rebuttal. - Operate LLM-driven population pipelines with cross-check scaffolds, provenance tracking, and human-in-the-loop curation to populate the system at…
More about Future of Life FoundationWhy this problemGlossary
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