# kaal:claim:4941807-008

**Claim.** The opacity of deep learning models obstructs debugging, obscures the detection and mitigation of bias, and prevents comprehension of how AI decisions are reached.

**Type.** failure  **Support.** evidenced

**Holds when.**

- particularly in deep learning models whose internal decision mechanisms are not transparent

**Source quote.**

> This opacity can obstruct the debugging process, obscure bias detection and mitigation, and hinder comprehension of AI decision-making.

**From.** Wulf A. Kaal, *AI Governance Via Web3 Reputation System* (2024), ORIGIN OF AI, page 6

**Cite as.** Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807

**Verify.** sha256 of source PDF `ab66c1e99a88da1fa36b0c6b536df5184231fe6aa427f3dd53287a4e0ac79853` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202024%20-%20AI%20Governance%20Via%20Web3%20Reputation%20System.pdf

**Failure mode.** black box opacity  (family: ai-oversight-and-alignment-gap)

**Topics.** ai-and-agents, reputation

**Keywords.** black-box-ai, explainability, bias-detection, deep-learning, trust

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