SecureBio AI

This stream will work on projects that empirically assess national security threats of AI misuse (CBRN terrorism and cyberattacks) and improve dangerous capability evaluations. Threat modeling applicants should have a skeptical mindset, enjoy case study work, and be strong written communicators. Eval applicants should be able and excited to help demonstrate concepts like sandbagging elicitation gaps in an AI misuse context.

Stream overview

This stream is primarily interested in mentoring projects in biosecurity that either (1) create rigorous threat models of AI biological misuse or (2) create benchmarks and tools that allow us to evaluate and mitigate these risks, as well as verifying that companies are taking suitable precautions.

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Potential example projects include:

  • Threat Model: What do inference compute trends imply for how fast dangerous biological capabilities may proliferate and become harder to monitor?
  • Evaluations: Formalizing "scientific ideation in an empirical field" in a manner that allows one to assess human and LLM-generated hypotheses for novelty, plausibility, etc.
  • Mitigations: Developing a way to more richly assess and describe the "blast radius" or "collateral damage" of efforts to remove-in-pretraining or unlearn material from LLMs
  • Verification: How are we better able to standardize and compare the effectiveness of classifiers from different AI companies and assess how much they reduce misuse risk?

Mentors

Nelly Mak
SecureBio
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Senior Research Scientist
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Nelly Mak is a research scientist on SecureBio's AI team, working on AIxBio evaluations and safeguards against AI-enabled biorisks. Mak previously completed a postdoc in the Jolly lab on HIV induction of tissue residency, and holds a PhD on the natural hosts of zoonotic viruses.

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Fellows we are looking for

For threat modeling work: Skeptical mindset, transparent reasoning, analytical

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For evaluations, mitigations, and verification work: LLM engineering skills (e.g., agent orchestration), biosecurity knowledge

Project selection

Mentor(s) will talk through project ideas with scholar