Which accountability mechanism BEST addresses the 'black box' problem for high-stakes AI decisions affecting individuals?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — b is correct because the black box problem — where individuals cannot understand why a decision was made — is best addressed by individualized, decision-specific explanations (such as SHAP values translated to natural language), enabling subjects to understand and contest specific decisions affecting them. A provides aggregate transparency, not individual accountability.
Full explanation below image
Full Explanation
B is correct because the black box problem — where individuals cannot understand why a decision was made — is best addressed by individualized, decision-specific explanations (such as SHAP values translated to natural language), enabling subjects to understand and contest specific decisions affecting them. A provides aggregate transparency, not individual accountability. C enables technical review but not layperson understanding of individual decisions. D improves developer documentation, not decision-level accountability.