Which of the following best describes a contrastive explanation in AI?

Question

BlackTom AI · Accepted Answer

Question restatement: Which of the following best describes a contrastive explanation in AI?

Option 1: 'Explaining why the AI made one decision instead of another specific alternative' This aligns with the core idea of contrastive explanations: it focuses on a comparison between the actual decision and a specific alternative that the user might have expected or questioned. It answers the 'why this instead of that' inquiry and helps users understand the boundary between choices.

Option 2: 'Explaining all possible reasons for an AI’s decision' This goes beyond a contrastive explanation. It would provide a comprehensive set of contributing factors for the decision, not the comparative rationale between two options. It’s more exhaustive than what contrastive explanations typically aim to deliver, and it can overwhelm the user with unnecessary possibilities.

Option 3: 'Comparing the AI’s decision to a random outcome' This describes a comparison to randomness rather than a deliberate contrast between two meaningful alternatives. It doesn't capture the user-centered, decision-boundary focus of contrastive explanations and would not reflect how explanations are typically constructed in interpretable AI.

Option 4: 'Hiding the reasons for the AI’s decision to protect privacy' This is the opposite of an explanation. Contrastive explanations are about making the decision intelligible by revealing the reasoning that differentiates choices, not concealing it.

Summary: The contrastive explanation concept centers on clarifying why the chosen option occurred in preference to a specific alternative, rather than enumerating all factors, comparing to randomness, or concealing the rationale.

Which of the following best describes a contrastive explanation in AI?单项选择题

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