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AI Offense-Defense Research Lead

New

Skills

Adversarial analysis AI governance Complexity science Complex systems modeling Dual-use technologies Network theory Risk assessment methodologies Safety engineering Systems dynamics modeling Technical standards development

As AI capabilities rapidly advance, we face a fundamental knowledge gap in understanding the dynamics that determine whether AI systems predominantly threaten or protect society. In this role, you will lead research to decode these offense-defense dynamics, examining how specific attributes of AI technologies influence their propensity to enhance societal safety or amplify risks. This position offers a unique opportunity to shape how society evaluates and governs AI systems, with a direct impact on global efforts to maximize AI's benefits while minimizing risks.

Key Responsibilities
  • Develop quantitative system dynamics models capturing interrelationships between technological, social, and institutional factors influencing AI risk landscapes.
  • Design analytical models to identify critical leverage points for policy interventions.
  • Expand offense/defense dynamics taxonomy and develop metrics to predict AI system application tendencies.
  • Build frameworks using documented AI misuse and beneficial uses to validate models.
  • Create tools to assess new AI models for their offense-defense implications.
Required Skills & Qualifications
  • M.Sc. or higher in Computer Science, Cybersecurity, AI Policy, or related field.
  • Experience with complex systems modeling and risk assessment methodologies.
  • Strong understanding of dual-use technologies and modern AI systems.
  • Exceptional analytical thinking with the ability to identify feedback loops in complex systems.
  • Record of relevant publications or research contributions related to technology risk.

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Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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