AI Safety Argumentation Platform Research
Core
Building an evidentiary infrastructure combining ontologies, knowledge graphs, and LLM-assisted pipelines to systematize arguments about AGI/ASI risks for policymakers and the public.
Role type
Senior IC research engineer (AI safety argumentation systems)
Builds
Structured argumentation frameworks and knowledge graphs feeding communications flows
Domain
AI safety, argumentation theory, knowledge graphs
Deliverable
production ML models | product features
Required skills
formal/semi-formal argumentation theory, ontology engineering, knowledge graph development, LLM agent systems, AI safety/governance literacy, philosophy of science concepts, graph databases, verification scaffolds
Preferred skills
computational argumentation tools (AIF, Carneades), AI safety governance track record, argument mining, debate formats, cognitive bias understanding
Technologies
OWL/RDF, property graphs, ASPIC+, Dung-style frameworks, LLM agent platforms
Responsibilities
Extend ontologies and knowledge graph schemas for claims and argument structures; Implement defeasible argumentation frameworks; Operate and quality-control LLM-driven population pipelines; Architect agent coordination patterns for multi-step research; Pre-harden argument structures against counterarguments; Build export pipelines for diverse communications formats
Seniority
Senior, hands-on IC
