Raktim Singh

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unified theory of unrepresentability in AI
Digital Transformation

A Unified Theory of Unrepresentability in AI: Why the Most Dangerous Failures Come from Missing Concepts

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Formal Theory of Delegated Authority
Artificial Intelligence

Formal Theory of Delegated Authority: Why Accountability Must Follow Authority Flow—Not Execution Flow

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Formal Verification of Self-Learning AI
Artificial Intelligence

Formal Verification of Self-Learning AI: Why “Safe AI” Must Be Redefined for Enterprises

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A Computational Theory of Responsibility in AI
Artificial Intelligence

A Computational Theory of Responsibility in AI: Why “Correct” Decisions Still Leave Moral Residue

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The Hardest Problem in AI
Artificial Intelligence

The Hardest Problem in AI: Detecting What a System Cannot Represent

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Counterfactual Causality Inside Neural Networks
Artificial Intelligence

Counterfactual Causality Inside Neural Networks: Why AI Must Learn to Intervene, Not Just Predict

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AI Can Be Right and Still Wrong
Artificial Intelligence

AI Can Be Right and Still Wrong: The Missing Moral Layer in Enterprise AI Decisions

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The Missing Neurobiology of Error
Artificial Intelligence

The Missing Neurobiology of Error: Why AI Cannot Feel “Something Is Wrong” — Even When It Reasons Correctly

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Enterprise AI for CX
Artificial Intelligence

Enterprise AI for CX: When Personalization Becomes a Liability

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Enterprise AI in Regulated Industries
Artificial Intelligence

Enterprise AI in Regulated Industries: How to Scale Autonomous AI Without Breaking Trust or Compliance

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