๐Ÿšจ AI Governance Taskforce Summer 2026 applications are open โ€“ deadline 10th May.

For senior or mid-career professionals transitioning into AI governance, focused on mitigating catastrophic risk.

This 12-week remote part-time opportunity is designed for experienced professionals who want to apply existing domain expertise to frontier AI governance, addressing acute and systemic catastrophic risks. You will work in small, high-calibre, multidisciplinary research teams producing policy-relevant research, led by Research Team Leaders and guided by expert practitioners based at respected organisations.

Projects and experts:

๐Ÿ”น Building anticipatory capacity: frontier AI risk scenario frameworks for government
Elizabeth Dearden-Williams (UK AISI)

๐Ÿ”น A playbook for corporate management of frontier AI incident knowledge under legal constraint
Sean McGregor (AI Incident Database)

๐Ÿ”น Opportunities for advancing red lines by country โ€“ middle powers legislation
Caio Machado (The Future Society)

๐Ÿ”น No treaty or weak treaty: Trade-offs between pathways to an international AI governance agreement
Josรฉ Villalobos (The Future of Life Institute)

๐Ÿ”น Testing and Evaluation of Agentic AI Systems in Military Command and Control
Heather Frase (Virginia Tech National Security Institute)

๐Ÿ”น โ€˜If Anyone Builds It, Everyone Needs to Understand Itโ€™ โ€” Understanding as a product of frontier AI safety review โ€“ building shared comprehension for collective governance
Professor Robin Bloomfield (City University, University of London)

What this involves:
๐Ÿ‘ฅ Applied research in small teams
๐Ÿ“„ Policy-relevant outputs (papers, briefs)
๐ŸŒ Fully remote, global, part-time (8 hrs/week), 12 weeks
๐Ÿ’ผ Selective, unpaid research fellowship
๐Ÿ“… Deadline: Sun 10 May 2026
๐Ÿ“… Cohort dates: 1 June - 21 August 2026
๐Ÿ”— More info and apply: https://www.arcadiaimpact.org/ai-governance-taskforce

For queries, please email:
Ben R Smith, Taskforce Lead
ben [at] arcadiaimpact [dot] org

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