AI Ethics | CBSE Class 10 AI Introduction to Artificial Intelligence Notes – 4
1.What do you mean by ethics?
Ethics are the moral principles that govern a person’s behaviour.
2. What do you mean by AI ethics?
AI Ethics are the set of values, moral principles and techniques that must be followed while developing AI applications.
3. Name some ethical issues of AI.
Bias, Lack of Safey, Lack of transparency, Lack of accountability
4. Write two examples of Human Rights violation by AI.
(i) AI Bias (ii) Collecting personal data of people without their knowledge
5. Write ethical issue related to AI setup.
Bias, Lack of Accountability, Lack Transparency.
6. Write ethical issue related to AI actions.
Bias, Lack of Trust, Privacy concerns
7. Write ethical issue related to AI impact.
More dependence on Automation, Reduction in Jobs, Chances on misinterpretation
8. Write ethical issue related to AI future.
Control of AI over people, Human rights violations, Robot rights
9. What is deepfake?
It is a technology that can generate fake photographs, sounds and videos that look original.
10. What is AI bias?
AI bias refers to the prejudiced behaviour displayed by AI applications.
11. What are possible reasons of AI bias?
i. Bias in human decisions.
ii. Unbalanced data collection.
iii. Under-representation or Over-representation of a group of human beings.
iv. Wrong assumptions
v. No proper bias testing
vi. No effort to reduce bias.
12. Give examples of AI bias.
i. A health insurance company of America preferred Whites over Blacks for extra healthcare services.
ii. Amazon’s AI recruitment application displayed bias towards female candidates.
iii. Twitter’s Image cropping AI application preferred white faces over black faces.
iv. Facebook’s advertising application allowed advertisers to target people based on their gender, race and religion.
13. What do you mean by bias in data collection?
It refers to unbalanced data collection that contains over-representation or under-representation of a group of human beings.
14. What do you mean by AI fairness?
Ai fairness mean that the output of AI application is free from any type of discrimination. It should give results without considering gender, race, religion, faith and disability etc.
15. Why is diversity of data collection team important for AI?
Diversity of data collection team is very important for AI because one person will not have major influence on data and decision making.
16. Why is Regular bias testing important for AI?
Regular bias testing is very important for AI because in this way we can test the data and overall performance of AI application. It further helps to remove biases.
17. What is the role of training data in AI?
OR
How is training data useful for AI? Why should it be fair?
Training data is very important for giving training to an ai application. If training data is biased, it will produce results that may show bias so training data must be complete, correct, balanced and unbiased.
18. How can we ensure that bias does not enter data?
i. Data must be reviewed properly before entering into AI application.
ii. Data must be collected after thorough research.
iii. Data must be collected from diverse resources.
iv. The team responsible for data collection should be from diverse backgrounds.
v. Data must be analysed regularly to observe and remove errors.
vi. Data must be checked regularly for biases.
19. Discuss some principles which may make and AI model trusted.
Bias and Fairness: AI model must be free from all types of biases and must be fair.
Accountability: There must be a way to make people accountable for accidents due to AI applications.
Transparency: Nothing is hidden. Everything done by AI must be explainable.
Safety: AI tools and technologies must not harm data and people.
Privacy Control: AI model should not hamper privacy of people.
Cyber Security: AI model must be designed in such a way that they can’t be used for creating cyber threats.
20. Discuss how AI may be used for human rights violation.
AI can record and save details of data shared by users in smart cities. This data may be misused. In this way, it may violate human rights to privacy of data
Decisions made by AI may be biased due to biased data or algorithms. It may lead to biased decisions and violate human right to justice.
21. Write advantages of AI.
i. It may reduce human errors.
ii. It may lessen repetitive work.
iii. It can provide digital assistance.
iv. It can help to make faster and accurate decisions.
22. Write disadvantages of AI.
i. AI may make biased decisions.
ii. AI may be misused.
iii. It may result in job loss for thousands of people.