What inference can be drawn from the passage?

DSSSB 6 September 2024

Health Information and Technology (Basic Computer)

Hard

Appeared in: DSSSB 6 September 2024

Explanation

The core concept is that any powerful technology like AI necessitates a framework for responsible use.
Search results confirm that ethical challenges are a primary concern in AI development and deployment, especially in sensitive areas like healthcare (SRC_10700, SRC_10701).
Issues such as data privacy, algorithmic bias, patient autonomy, and the transparency of AI decisions are critical ethical considerations that must be addressed (SRC_10702).
Unlike the other options, which are absolute or overly restrictive, this statement represents a balanced and widely accepted view on AI implementation.

Why Other Options Were Wrong

Option B: This is an absolute statement that is factually wrong. AI systems have documented risks, including generating false information ('hallucinations'), inheriting societal biases from data, and potential for misuse.
Option C: This is an extreme and speculative claim. While AI will automate many tasks and change the job market, it is not predicted to replace 'all' human jobs. It is more likely to augment human capabilities and create new job categories.
Option D: This is an overly narrow and factually incorrect statement. AI has broad applications in manufacturing, transportation, education, entertainment, scientific research, and many other sectors.

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Clinical Relevance

Nursing practice connection: This is primarily an exam-oriented knowledge point with limited direct bedside application, so retain Inferential reasoning and critical analysis of technology's societal impact as background academic context rather than a clinical decision trigger.
In a clinical setting, nurses will increasingly interact with AI-driven tools for tasks like patient monitoring, documentation (EHRs), and clinical decision support.
Understanding the ethical pitfalls, such as potential bias in AI-driven risk scores (e.g., for sepsis or falls), is crucial for patient advocacy and ensuring equitable care.
A nurse must be prepared to critically evaluate AI recommendations and not follow them blindly, using their own clinical judgment to ensure patient safety.

How to Approach the Question

First, identify the question type. This is an 'inference' question, which asks you to draw a conclusion that is strongly suggested by the text, even if not explicitly stated.
Read all the options carefully. Pay close attention to absolute words like 'all', 'only', or 'completely'. These often make a statement incorrect in reading comprehension tests.
Evaluate each option for reasonableness. Option A presents a balanced, cautious view. Options B, C, and D present extreme or overly restrictive views.
Eliminate the improbable options. 'Completely risk-free' (B), 'replace all human jobs' (C), and 'can only be used' (D) are strong claims that are easily disputed and unlikely to be the intended inference of a well-reasoned passage.
Select the most logical and defensible conclusion. The need for ethical considerations (A) is a common and critical theme in discussions about new technology, making it the most plausible inference.

Concept Tested & Keywords

Concept Tested: Inferential reasoning and critical analysis of technology's societal impact.
Stem keywords: inference, passage, Artificial Intelligence, AI
Lead-in keywords: What

Question ID

Qu5C1gzv1TNlFDanjk_jV-

Reference Book

E6 Medicine Harrison 22e Part 1 p. 115-117

E6 Robert Boland, Marcia L. Verduin - Kaplan and Sadock's Comprehensive Text of Psychiatry-Wolters Kluwer Health (2024) (pp 1-16525 of 16525) p. 13083-13085

E6 Textbook of Biochemistry for medical StudentsDM Vasudevan Part 2 — Subpart B (pp 240-463 of 478) p. 185-187

Explanation

Why Other Options Were Wrong

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Question ID

Reference Book

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