Which term captures the power imbalance created by opaque AI models that limit external understanding?

Which term captures the power imbalance created by opaque AI models that limit external understanding?

• A. Lack of Transparency and Interpretability
• B. Data Strategy
• C. Data Provenance
• D. Power Asymmetries

Answer: (D)

Opacity in AI models creates power imbalances because when the reasoning behind decisions is hidden, only a few with access to the internals can understand, audit, or challenge outcomes. That leaves a larger group—users, regulators, and other stakeholders—at a disadvantage, unable to verify fairness, appropriateness, or accountability. This mismatch in who can understand and influence the system’s decisions is exactly what power asymmetries describe: a skew in influence and control caused by limited visibility. Lack of Transparency and Interpretability notes the visibility issue itself, but the stronger idea here is the unequal distribution of power that opacity enables. Data strategy and data provenance deal with data handling and origins, not the resulting shift in authority or influence caused by opaque models.

Opacity in AI models creates power imbalances because when the reasoning behind decisions is hidden, only a few with access to the internals can understand, audit, or challenge outcomes. That leaves a larger group—users, regulators, and other stakeholders—at a disadvantage, unable to verify fairness, appropriateness, or accountability. This mismatch in who can understand and influence the system’s decisions is exactly what power asymmetries describe: a skew in influence and control caused by limited visibility.

Lack of Transparency and Interpretability notes the visibility issue itself, but the stronger idea here is the unequal distribution of power that opacity enables. Data strategy and data provenance deal with data handling and origins, not the resulting shift in authority or influence caused by opaque models.