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Research areas

Three broad areas connect my papers, public writing, talks, and projects. Each contains three focused research topics; all are working arguments, not keyword buckets.Browse all indexed objects
Data, Value, and BargainingWho supplies AI’s inputs, who captures the value, and how people can bargain.
  1. Data as LaborHuman activity is upstream of (many) AI capabilities.
  2. Data Leverage and Collective ActionAny system with data dependence creates potential collective bargaining power.
  3. Data Dividends, Payments, and Commons RentSharing value from data-dependent AI.
Commons, Infrastructure, and Public AIHow provenance, commons governance, and public institutions can make AI answerable.
  1. Provenance and Governance of AI Supply ChainsProvenance and rules for data flows.
  2. Knowledge Commons and AI EnclosureHow AI reshapes open knowledge ecosystems.
  3. Public AIAI institutions that answer to publics.
Models, Evaluation, and Social WorldsHow platforms and models represent social behavior, and how those representations should be evaluated.
  1. Social Computing and PlatformsPlatform behavior, participation, and attention.
  2. LLM Social Simulation and Agent-Based ModelingGetting value from agent-based models of social systems.
  3. AI Safety and EvaluationAudits, benchmarks, contestability, and overreliance.