Opacity, because the model's internal decision-making is | AIGP
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Opacity, because the model's internal decision-making is: Which characteristic of AI does this describe?

AIGP Understanding the Foundations of AI Governance Easy

The inability to trace why a model reached an output, despite accuracy, is the opacity or black-box characteristic of AI.

The question

A deep learning model produces accurate predictions, but even its own engineers cannot fully trace why it reached a specific output. Which characteristic of AI does this describe?

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  1. Autonomy, because the model can take actions or make decisions with little or no direct human intervention during its operation.
    Plausible as a listed characteristic, but autonomy is about acting without human input, not about being hard to interpret.
  2. Data dependency, because the model's behavior is shaped fundamentally by the quality and content of the data used to train it.
    Plausible, but data dependency concerns reliance on training data, not the interpretability of the model's reasoning.
  3. Opacity, because the model's internal decision-making is difficult for humans to interpret even when its outputs are accurate. ✓
    Correct. Difficulty tracing a model's internal reasoning is exactly the opacity (black-box) characteristic.
  4. Speed and scale, because the model can generate very large numbers of predictions far faster than any human reviewer could.
    Incorrect; speed and scale describe throughput, whereas the scenario is about not understanding the model's reasoning.
The trap
Confusing opacity (can't understand the reasoning) with autonomy (acts without human input).

How to remember it

The inability to trace why a model reached an output, despite accuracy, is the opacity or black-box characteristic of AI.

How many of these would you get right?

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