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Secure the future of AI through rigor

As founder AI models grow in power and access, they also highlight new attack surfaces, weaknesses and moral risks. This white paper by the Secure Systems Research Center (SSRC) at the Technology Innovation Institute (TII) underlines a wide outline to ensure safety, flexibility and safety in AI models on a large scale. By implementing zero-trust principles, framework training, perineeration, estimates and post-diploys address the dangers. It also considers strategies such as geopolitical risk, model abuse, and data poisoning, safe calculation environment, verificationable dataset, continuous verification and runtime assurance. Paper proposes a roadmap for governments, enterprises and developers for important applications to construct a trusted AI system for important applications.

What will the attendees learn

• How to protect the zero-trust security AI system from attacks
• Ways to reduce hallucinations (raga, fine-tuning, railing)
• Best Practice for Flexible AI Payment
• Major AI security standards and outline
• Importance of open-source and explain AI

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