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AI Security Institute

Head of Technical Standards and Best Practice

AI & Machine LearningPosted on Nov 9
Full-timeLondon, UKHybrid

About the Job

Requirements

  • Strong technical understanding of frontier AI systems and the practices used to make them safe and secure, gained for example through 5+ years in AI security research or engineering, or AI evaluation.
  • A track record of thought leadership on safer frontier AI development practices, such as developing an industry standard, published safety framework, or internal policies followed by engineering teams.
  • Experience leading a team, or managing a large programme of work involving several organisations.
  • Experience building credibility with senior technical people within and outside the candidate's organisation.
  • Ability to write clearly and precisely for technical experts and senior decision-makers.
  • Ability to spend at least 4 days per week working with the organization.
  • Ability to work from the London office roughly 3 days per week.

Responsibilities

  • Decide which areas of best practice AISI should work on and in what order, based on risk, AISI's expertise and appetite among developers.
  • Own the long-term strategy for this area and make the case inside and outside AISI for its importance.
  • Oversee researchers and experts across AISI as they develop best practice, and bring their expertise together into clear, usable documents.
  • Ensure each document sets out specific, actionable practices: what developers should do and how anyone could check that it has been done.
  • Lead technical engagement with frontier AI developers, evaluators, standards bodies and government partners to test and improve drafts.
  • Oversee publications and company engagement, choosing the best route to adoption for each area.
  • Line manage and grow the core team and establish a repeatable process from first draft to publication.

Desired Qualifications

  • Experience working at, or closely with, a frontier AI developer.
  • Experience writing or reviewing safety cases, either for AI or in a safety-critical industry such as nuclear, aviation or medical devices.
  • Expertise in monitorability, documenting and reporting risk, or transparency about AI research automation.
  • Experience with formal standards development, such as ISO or NIST processes, or industry consortia.
  • Eligibility for Security Check (SC) clearance is preferred but not essential.

About the Company

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2023

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