How should I approach this reading question type?

First, identify the core claim of the text. Look for transition words like 'however' or 'furthermore' which signal changes in the author's logic. Then, match the evidence directly to the options provided.

What is the common trap in wrong answers for this category?

The most common trap is 'extreme language' (e.g., 'always', 'never') or 'unsupported inferences' that go beyond what is explicitly stated in the provided text snippet.

Why is the correct answer better than the close alternatives?

The correct answer usually captures the most direct and necessary evidence from the text, whereas alternatives often focus on minor details or distort the author's primary subject.

Set 1: Cross-Text Connections (Advanced)

Explanation

Answer: A

PASSAGE

Text 1 Algorithmic bias occurs when computer systems reflect the prejudices of their creators or the data they are trained on. For example, facial recognition software has been shown to be less accurate for people of color. Text 2 Proponents argue that algorithms are neutral tools. They claim that any bias is a result of 'bad data', not the code themselves. The solution, they argue, is better data, not regulation of the technology.

What is the core point of contention regarding responsibility?

A. Whether facial recognition works.✓ Correct

B. Whether computers can think.

C. Whether people should use computers.

D. Whether the bias is inherent to the technological design or merely a symptom of input quality.

Detailed Answer Explanation

This question asks you to compare perspectives from two passages. Text 1: Reflect creators/System bias. Text 2: Neutral tools/Bad data (Input). Contention: System vs Input. Understanding how the authors relate to each other's views is essential. Identify whether they agree, disagree, or address different aspects of the topic. Focus on their specific claims and conclusions. When comparing texts, first identify each author's thesis or main argument. Then determine how these positions interact: do they complement each other, contradict each other, or address different aspects of the same issue? The relationship between texts reveals deeper meaning.

Key Evidence:

• "reflect the prejudices"

• "result of 'bad data', not the code"

Why others are wrong: A (Accuracy mentioned.), B (Not point.), C (Irrelevant.).

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