Machine Intelligence Research Institute

Risk

• 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.

Technical Governance