AI From Zero - Guidelines to Exercises - Lesson 7
Guidelines to Exercises - AI From Zero - Lesson 7: AI Ethics Made Simple: Fairness, Privacy, and Human Oversight
1. Why is "data privacy" a concern when using AI tools?
Guideline: Focus on what AI does with the information it receives. It processes and stores data, which can include personal or sensitive details.
Correct Answer: b) AI could share your personal information.
2. What does "AI bias" refer to?
Guideline: AI bias occurs when an AI system produces unfair or inaccurate outcomes due to flaws in its training data or algorithms, often reflecting societal prejudices.
Example Answer: AI bias refers to when an AI system makes unfair or incorrect decisions because it was trained on biased data that reflects existing societal prejudices or inequalities.
3. What does the phrase "human in the loop" mean for AI?
Guideline: This emphasizes the necessity of human involvement for monitoring, reviewing, and making final decisions, especially in critical or sensitive AI applications.
Example Answer: "Human in the loop" means that humans remain actively involved in the AI process, overseeing its decisions, reviewing its outputs, and making final judgments, especially for important or sensitive tasks.
4. True or False: A human's critical thinking and empathy are always needed when using AI for sensitive tasks.
Guideline: Consider the limitations of AI, particularly in areas requiring nuanced judgment, moral reasoning, or understanding of human emotions.
Correct Answer: True.
5. Give an example of how AI bias could negatively impact a specific group of people.
Guideline: Think about systems that make decisions about individuals, and how skewed data could lead to unfair treatment.
Example Answer: If an AI used for hiring was trained mostly on data of male applicants being successful, it might unfairly filter out equally qualified female applicants, perpetuating gender bias in the workforce.
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