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Toward Trustworthy AI: A Zero-Trust Framework for Foundational Models

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Securing the future of artificial intelligence through the principles of strict safety, elasticity and designing zero confidence

With the growth of the artificial intelligence models in power and access, it also displays new attack surfaces, weaknesses and moral risks. This white paper written by the SSRC Research Center at the Institute of Technology Innovation (TII) determines a comprehensive framework for ensuring security, flexibility and safety in the models of artificial intelligence on a large scale. By applying the principles of zero confidence, the framework addresses threats through training, publishing, inference and post -publication control. It also looks at geopolitical risks, abuse of models, data poisoning, providing strategies such as safe account environments, verified data groups, continuous verification, and ensuring operating time. The paper proposes a road map for governments, institutions and developers to build a trustworthy Amnesty International systems for important applications.

What the attendees will learn

  • How to protect the trust of artificial intelligence systems from attacks
  • Ways to reduce hallucinations (rag, polishing, grades) handrails)
  • Best practices for spreading flexible artificial intelligence
  • The main standards and parties of Amnesty International and the frameworks
  • The importance of open source and explained

Click on the cover to download white PDF now.

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