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New GRAM method enables modular AI access control for dual-use capabilities

By PulseAugur Editorial · [3 sources] ·

Researchers have developed Gradient-Routed Auxiliary Modules (GRAM), a novel pre-training method designed to address the dual-use dilemma in AI development. GRAM allows for the selective disabling of specific capabilities within a single AI model, approximating the effect of training separate models with filtered data at a fraction of the cost. This approach enables fine-grained access control, allowing sensitive knowledge to be restricted to trusted deployments while preserving general performance. Experiments show GRAM effectively isolates capabilities across various domains, including virology and cybersecurity, and maintains this isolation even after fine-tuning. AI

IMPACT Enables more granular control over AI capabilities, potentially mitigating risks associated with dual-use technologies.

RANK_REASON The cluster describes a new pre-training method for AI models published in an academic paper.

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AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

New GRAM method enables modular AI access control for dual-use capabilities

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The cluster describes a new pre-training method for AI models published in an academic paper.
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COVERAGE [3]

  1. arXiv cs.LG TIER_1 English(EN) · Ethan Roland, Murat Cubuktepe, Erick Martinez, Stijn Servaes, Keenan Pepper, Mike Vaiana, Diogo Schwerz de Lucena, Judd Rosenblatt, Addie Foote, Cem Anil, Alex Cloud ·

    Modular Pretraining Enables Access Control

    arXiv:2607.08077v1 Announce Type: new Abstract: AI developers face a dual-use dilemma. An AI capability that helps one user cure a disease can help another synthesize one. This dilemma could be resolved with access control, limiting dual-use AI capabilities to trusted deployments…

  2. Alignment Forum TIER_1 English(EN) · E.Roland ·

    Modular Pretraining Enables Access Control

    <p><i><span>Full author list: Ethan Roland</span></i><span>*</span><i><span>, Murat Cubuktepe</span></i><span>*</span><i><span>, Erick Martinez</span></i><span>*</span><i><span>, Stijn Servaes, Keenan Pepper, Mike Vaiana, Diogo Schwerz de Lucena, Judd Rosenblatt, Addie Foote, Cem…

  3. LessWrong (AI tag) TIER_1 English(EN) · E.Roland ·

    Modular Pretraining Enables Access Control

    <p><i><span>Full author list: Ethan Roland</span></i><span>*</span><i><span>, Murat Cubuktepe</span></i><span>*</span><i><span>, Erick Martinez</span></i><span>*</span><i><span>, Stijn Servaes, Keenan Pepper, Mike Vaiana, Diogo Schwerz de Lucena, Judd Rosenblatt, Addie Foote, Cem…

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