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AI Model Audits Require ’Trust, But Verify’ Approach to Boost Reliability
AI Model Audits Require ’Trust, But Verify’ Approach to Boost Reliability
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Reliability in AI models remains elusive, hindering mainstream adoption in critical sectors such as healthcare and finance. Samuel Pearton, CMO at Polyhedra, argues that audits are essential to restore trust and accountability in the industry.
Current audit systems face challenges in independently reviewing training, inference, and deployment stages. A ’trust, but verify’ framework could enhance transparency and rebuild confidence in AI systems.
The lack of robust auditing mechanisms underscores the need for stricter compliance measures as AI integration accelerates across financial markets and decentralized technologies.
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