Machine Intelligence Research Institute

Research Scientist

• Conduct research in areas of technical governance
• Collaborate with the technical governance team on projects
• Prepare research papers and reports
• Present findings to stakeholders

Research Fellow – Technical Governance

Risk

• Manage a team working on technical governance research and have the opportunity to work on these areas directly.
• External stakeholder management, build and maintain relationships with policy makers and AI company employees.
• Internal stakeholder management, interface with the rest of MIRI and ensure our work is consistent with broader MIRI goals, pre-publication review of the team’s outputs.
• Project management, track existing projects, motivate good work toward deadlines.
• People management, run future hiring rounds, fellowships.
• Research contributions: contributing to object level work.
• Maintain focus on scalability to smarter-than-human intelligence and research new challenges at that stage.
• Day-to-day: reading, writing, meetings; example activities: threat modeling, responding to government Requests for Comment, learning risk management practices, designing/implementing AI model evaluations, preparing/presenting briefings, reading policy documents and writing reports, designing new AI policies and standards.

Manager, Technical Governance

• Research and design technical aspects of AI regulations and policy to improve chances of safe AI.
• Produce a large range of research outputs for the technical governance space (reading, writing, meetings).
• Threat modeling to understand how AI systems could cause large-scale harm and mitigation actions.
• Respond to government Requests for Comment and prepare inputs into regulations.
• Learn risk management practices from other industries and apply them to AI.
• Design and implement evaluations of AI models to demonstrate failure modes and inform policy.
• Prepare and present briefings to policymakers explaining AI evaluations and relevant topics.
• Analyze government or AI developer policy documents and write reports on limitations.
• Design new AI policies and standards that address limitations of current approaches, focusing on scalability to smarter-than-human intelligence.
• (Manager-specific) External and internal stakeholder management, project management, people management, and potential research contributions.