📘📗 Passages A & B – Scrollable Reading Section
📘 Passage A – AI in Personal Life
Artificial Intelligence (AI) has become deeply embedded in daily routines. From voice assistants that manage schedules to recommendation algorithms that personalize content, AI enhances convenience and efficiency. These systems learn from user behavior, adapting over time to provide increasingly tailored experiences.
Despite its benefits, AI raises ethical concerns. Data privacy, algorithmic bias, and over-reliance on automation are debated issues. Critics argue that users often lack awareness of how their data is used or how decisions are made. Transparency and digital literacy are essential to ensure responsible use of AI technologies.
📗 Passage B – AI in Public Systems
Governments and institutions are integrating AI into public services. In healthcare, AI assists in diagnostics and patient monitoring. In transport, it optimizes traffic flow and predicts maintenance needs. These applications promise improved efficiency and resource management.
However, challenges persist. Bias in training data can lead to unfair outcomes, especially in areas like criminal justice or hiring. Public trust depends on accountability and oversight. Policymakers must balance innovation with ethical safeguards to ensure AI serves all citizens equitably.
❓ Questions & Feedback
📊 IELTS Band Score Reference
| Correct Answers | Estimated Band Score |
|---|---|
| 12 | 9.0 |
| 11 | 8.5 |
| 10 | 8.0 |
| 9 | 7.5 |
| 8 | 7.0 |
| 7 | 6.5 |
| 6 | 6.0 |
| 5 | 5.5 |
| 4 | 5.0 |
| 0–3 | Below Band 5 |
📚 Answer Explanations
- Q1: B – Personalized experiences
📘 Passage A states that AI “learns from user behavior” and “provides increasingly tailored experiences.” This directly supports option B. ❌ Options A, C, and D contradict the passage: manual effort is reduced, transparency is a concern (not a benefit), and adaptability is a strength, not a limitation. - Q2: False
📘 The passage discusses “ethical concerns” including “data privacy, algorithmic bias, and over-reliance.” These are clearly stated issues. ✅ “False” is correct because the statement claims AI *never* raises concerns, which is contradicted. ❌ “Not Given” is incorrect because the concerns are explicitly mentioned. - Q3: User, time
📘 The phrase “learn from user behavior, adapting over time” appears verbatim in Passage A. 💡 Tip: Look for verbs like “learn,” “adapt,” and nouns like “behavior” — they often signal key ideas in IELTS reading. - Q4: Awareness
📘 Critics argue that “users often lack awareness of how their data is used or how decisions are made.” ✅ “Awareness” is the precise word used in the passage. ❌ Answers like “control” or “access” may seem plausible but aren’t supported by the text. - Q5: Healthcare
📗 Passage B says “In healthcare, AI assists in diagnostics and patient monitoring.” ✅ “Healthcare” is correct because it’s the only sector mentioned in relation to diagnostics. ❌ “Transport” is mentioned but not for diagnostics. “Education” and “Finance” are not mentioned at all. - Q6: Traffic optimization, Patient monitoring
📗 These are both listed in Passage B as examples of AI applications. ❌ “Manual scheduling” contradicts the idea of automation. “Bias detection” is discussed as a challenge, not a direct application. 💡 Tip: Checkbox questions often include distractors that are thematically related but not supported by the passage. - Q7: Bias
📗 The passage warns that “bias in training data can lead to unfair outcomes.” ✅ “Bias” is the core challenge discussed. ❌ Answers like “cost” or “complexity” are not mentioned in this context. - Q8: Ethical
📗 Policymakers must “balance innovation with ethical safeguards.” ✅ “Ethical” is the exact adjective used. ❌ “Legal” or “technical” may sound reasonable but are not supported by the passage. - Q9: Maintenance
📗 AI “predicts maintenance needs” in transport systems. ✅ “Maintenance” is correct and directly quoted. ❌ “Fuel,” “traffic,” or “repairs” are not mentioned as predictive targets. - Q10: Prediction
📘 The flowchart logic is: data → algorithm → prediction → personalization. ✅ “Prediction” bridges the gap between algorithm and personalized output. ❌ “Analysis” or “processing” are too vague and don’t match the passage’s sequence. - Q11: Accountability
📗 “Public trust depends on accountability and oversight.” ✅ “Accountability” is the key term. ❌ “Transparency” is related but not the focus of this sentence. “Efficiency” is mentioned elsewhere but not in this context. - Q12: Both
📘 Passage A discusses “algorithmic bias” in personal systems. 📗 Passage B addresses bias in public systems like justice and hiring. ✅ “Both” is correct because the issue spans both domains. ❌ “A” or “B” alone would ignore half the evidence.