Trustworthy AI

Weak-Model-Provenance-KrishnaG-CEO

Weak Model Provenance: Trust Without Proof

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Weak Model Provenance: Trust Without Proof A critical weakness in today’s AI model landscape is the lack of strong provenance mechanisms. While tools like Model Cards and accompanying documentation attempt to offer insight into a model’s architecture, training data, and intended use cases, they fall short of providing cryptographic or verifiable proof of the model’s …

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Explainable-AI-KrishnaG-CEO

Explainable AI (XAI): Building Trust, Transparency, and Tangible ROI in Enterprise AI

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Explainable AI refers to methods and techniques that make the decision-making processes of AI systems comprehensible to humans. Unlike traditional software with deterministic logic, most AI models learn patterns from data, making their internal workings difficult to understand.