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Difficulty: MediumMethod of Reasoning

Consider the following argument:

Ethicist: A common argument among artificial intelligence researchers is that automated decision-making systems will inevitably eliminate human bias because algorithms lack personal prejudice. However, this defense overlooks how these systems are trained. Historical training datasets reflect centuries of systemic societal disparities, and an algorithm trained on such data will faithfully replicate and codify those disparities in its predictions. Therefore, the belief that machine automation alone guarantees impartiality in social outcomes is fundamentally mistaken.

Match each excerpted statement from the ethicist's argument to its precise structural role in the method of reasoning.

  • "Automated decision-making systems will inevitably eliminate human bias because algorithms lack personal prejudice."The opposing claim that the argument sets out to undermine.
  • "Historical training datasets reflect centuries of systemic societal disparities."A foundational premise providing factual background about the inputs to the process.
  • "An algorithm trained on such data will faithfully replicate and codify those disparities in its predictions."An intermediate conclusion that details the operational mechanism undermining the target view.
  • "The belief that machine automation alone guarantees impartiality in social outcomes is fundamentally mistaken."The main conclusion that expresses the overall thesis of the argument.

Answer

Match the claim about eliminating human bias to the opposing position being undermined; the claim about historical training datasets to the foundational empirical premise; the claim about algorithms replicating disparities to the intermediate conclusion; and the claim about impartiality being mistaken to the main conclusion.
The correct pairings accurately reflect the logical progression: the author introduces a rival claim, provides an empirical fact about historical datasets, derives an intermediate consequence regarding algorithmic behavior, and concludes with the overall refutation of the initial claim.

Step-by-Step Solution

1
Analyze the overall structure of the argument and identify the author's primary objective.
The author aims to refute the idea that automated systems eliminate bias, culminating in the final statement that this belief is mistaken.
Identifying the overall goal establishes the main conclusion and clarifies which statements are opposing claims versus supportive evidence.
2
Examine the logical flow between the middle statements to distinguish primary premises from intermediate deductions.
The observation regarding historical datasets provides the empirical basis, which directly yields the subsidiary finding that trained models will replicate those disparities.
Distinguishing between independent premises and intermediate conclusions is crucial for accurately mapping the method of reasoning.
3
Pair each excerpted statement with its corresponding functional description.
Every excerpt aligns uniquely with one functional role without overlap or ambiguity.
Ensures that all structural relationships within the stimulus are properly matched.

Key Concept

Method of Reasoning: Structural Role Analysis
Estimated Time:1m 30s
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Method of Reasoning

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