✅ Correct Answers

1️⃣ Question 1

Informing patients about the use, limitations, and risks of AI is a:

• ✅ Ethical consideration

• ❌ Technical consideration

• ❌ Model consideration

• ❌ Data consideration

Explanation:
Anything involving patient awareness, consent, risks, and transparency is ethical.

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2️⃣ Question 2

Robustness against adversarial attacks falls under:

• ❌ Ethical

• ✅ Technical consideration

• ❌ Model

• ❌ Data

Explanation:
Security, robustness, and system reliability are technical issues.

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3️⃣ Question 3

Explainability refers to:

• ❌ Ease of understanding output

• ❌ Preventing misuse

• ✅ Providing insights into the model’s decision-making

• ❌ Encryption for privacy

Explanation:
Explainability clarifies how and why the model makes decisions.

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4️⃣ Question 4

Integrating Generative AI into existing systems (ROI, change management) is:

• ❌ Ethical

• ❌ Cultural

• ✅ Organizational challenge

• ❌ Technical

Explanation:
Integration, business processes, and ROI fall under organizational concerns.

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5️⃣ Question 5

When generative AI outputs inaccurate or illogical information:

• ❌ Explainability

• ❌ AI bias

• ✅ AI hallucination

• ❌ Interpretability

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6️⃣ Question 6

Generalization ability means:

• ❌ Encryption compliance

• ✅ Performing well on unseen data

• ❌ Preventing misuse

• ❌ Providing insights

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7️⃣ Question 7

Identifying patterns that warrant further investigation is:

• ❌ Multivariate analysis

• ❌ Univariate analysis

• ✅ Hypothesis generation

• ❌ Feature engineering

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8️⃣ Question 8

How generative AI helps choose model architecture:

• ❌ Generate explanations

• ✅ Generate latent representations showing underlying structure

• ❌ Generator vs discriminator

• ❌ Mutual information

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9️⃣ Question 9

Common disadvantage of dedicated tools (DataRobot, AutoGluon):

• ❌ Vendor lock-in (not specific)

• ❌ Google Cloud expertise

• ❌ High costs (sometimes true, but not the key universal issue)

• ✅ Limited customization options

Explanation:
AutoML platforms simplify tasks but restrict deep customization.

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🔟 Question 10

Common advantage of open-source tools (ChatGPT, Bard, etc.):

• ❌ Built-in explainability

• ❌ End-to-end automated system

• ❌ AWS integration

• ✅ Require beginner-level skillset to use, personalize, and optimize code

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🧾 Summary Table

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