Many organizations sit below the “cyber poverty line”: they skip basics like two-factor authentication and timely patching, making it easier for attackers to breach them through phishing, stolen credentials, and by exploiting known vulnerabilities. For instance, the chart here shows the security practices of businesses and charities in the UK, from a nationally representative 2025/26 survey by the UK Department for Science, Innovation and Technology. Fewer than half of UK businesses and charities use any two-factor authentication, or have a policy to apply security updates within two weeks. A quarter of UK businesses do not have a firewall covering their whole network.

GovAI is hiring a Talent Program Manager! You'll design and test the programs that get our fellows and alumni into AI governance careers — career support, ecosystem mapping, new formats for senior people. Apply by Oct 4: governance.ai/post/talent-pr…

GovAI is hiring a Research Manager for our UK Fellowships! You'll help design and run our flagship Seasonal Fellowships — a biannual 3-month programme in London. Apply by 27 Sep: governance.ai/post/research-…

GovAI is hiring a DC Research Manager! Help run our DC Seasonal Fellowships: shape each ~20-person cohort and research manage about half of it. A good fit if you know US AI policy and enjoy coaching people. Apply by Sep 13: governance.ai/post/dc-resear…

We're hiring Research Scholars and Research Fellows at GovAI. GovAI's mission: help government bodies, technology companies, and other institutions make good decisions about AI. We do this in two ways: producing research to support informed decision-making, and running fellowships and visitor programs to address talent gaps. Now open: Research Scholar (12-month visiting position) Flexible, career-development-focused role with wide latitude (policy / social science / technical research; advising; convening; launching applied initiatives). Structured support via supervision, mentorship, and regular feedback. Comp (by experience/location): London £75k–£103.5k + benefits DC $100k–$165k + benefits Apply/info: governance.ai/post/research-… Research Fellow (2-year staff role, renewable) For experienced researchers driving core AI governance agendas: independent policy-relevant research, contributing to strategy, mentoring junior researchers. Comp (by experience/location): London £84k–£103.5k + benefits DC $134.5k–$170k + benefits Apply/info: governance.ai/post/research-… Research areas include: risk management, threat modeling, economics of AI, geopolitics, public policy, technical governance (and more). Location: Prefer London or DC, open to elsewhere (e.g. the Bay Area). Deadline: 23:59 AoE, Sun 16 Aug 2026. One shared application for both roles. If this sounds like you (or someone you know), please apply/share.

Apply for GovAI's 2027 DC Winter Fellowship! 📍 Location: Washington, DC 📅 Deadline: July 12, 2026 at 11:59PM ET The DC Winter Fellowship is a three-month bipartisan opportunity designed to accelerate or launch impactful careers in American AI governance and policy. Participants deepen their understanding of the field, connect with a network of experts, and build their skills and professional profile, all while conducting a research project of their choice under expert guidance. 🔗 Learn more: lnkd.in/dVuBpM8Z

U.S. policy professionals across government and think tanks: we invite you to apply for GovAI's U.S. AI Policy Program – a free, bipartisan, part-time program designed to equip policy professionals with a technically-informed understanding of the AI policy landscape. Apply by July 5. governance.ai/post/govai-u-s…

Apply for GovAI's 2027 Winter Fellowship, Research and Applied tracks! 📍 Location: London, UK 📅 Deadline: 23:59 BST Sunday 12 July 2026 Fellows will join us in London to conduct a project on a topic of their choice, participate in an expert Q&A and seminar series aimed at developing a broad understanding of the field, and spend time forging connections with researchers and practitioners. Learn more below. 🔗 Learn more about the Research Track: lnkd.in/eGNrgV2u 🔗 Learn more about the Applied Track: lnkd.in/eVcZ5se5