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A Fundamental Framework for Regulating AI-Driven Representations

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Unlocking AI Accountability: Introducing Reasoning Claim Tokens (RCTs)

As generative AI reshapes enterprise interactions, a significant governance gap emerges. Organizations face challenges as AI outputs occur beyond their control, posing risks for accountability. Traditional methods focus on accuracy, yet lack essential elements for post-incident evaluation.

Key Insights:

  • Governance Challenge: Enterprises struggle to govern AI outputs they cannot inspect.
  • Introducing RCTs: Reasoning Claim Tokens (RCTs) capture time-indexed reasoning claims from AI models.
  • Model-Agnostic Utility: RCTs serve as evidentiary artifacts, supporting audit, legal review, and risk governance without needing internal model insights.
  • New Paradigm: Shift from optimization tools to vital evidentiary records for external AI representations.

Join the discussion on elevating AI governance! Share your thoughts on RCTs and their potential impact on the future of artificial intelligence.

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