kaal:claim:4796714-007

The black box character of deep learning models is a governance failure and not merely a technical inconvenience: opacity obstructs debugging, obscures bias detection and mitigation, and prevents comprehension of how inputs become outputs.

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

Wulf A. Kaal, AI Governance (2024), Origin of AI, p. 6
https://ssrn.com/abstract=4796714 · source PDF

Wulf A. Kaal, AI Governance (2024). SSRN: https://ssrn.com/abstract=4796714

• most pronounced in deep learning models
• matters where decisions must be explained or audited

failuresupport: evidencedfailure: black box opacityfamily: ai-oversight-and-alignment-gapdisclosure

• extended_by kaal:claim:5541658-014 The opacity of black box AI systems can undermine procedural fairness as a legal matter, because parties hold ...

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