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4. Identify the bias that happens when AI learns from past decisions that were unfair.

a) Historical Bias b) Measurement Bias

c) Algorithmic Bias d) Human Bias
5. Select the correct option for achieving fairness in AI, ensuring that AI systems make impartial
decisions, treat everyone equally and provide equal opportunities without discrimination.

a) Equal opportunities for all b) Biased decisions

c) Discriminatory practices d) Favouring specific groups

B. Fill in the blanks using the given hints:
1. Ethics refers to the rules that help us make decisions that are right, fair and Hints
. Responsible
Digital
2. The Reseve Bank of India has also set rules for lending
platforms that use AI to make decisions about loans and credit. Trained
Online
3. AI systems must be on balanced data and designed to avoid Digital user
perpetuating bias.

4. To be a Digital citizen you must think carefully before posting anything .
5. A interacts with digital tools and technology.

C. Write ‘T’ for true and ‘F’ for false.

1. AI can be unfair if it’s trained on biased data.

2. Ethical AI makes sure this information is protected and used responsibly.

3. Bias means treating people fairly or making decisions that are based on all the facts.

4. To ensure AI is working fairly, it should be checked often for any bias.

5. Respect others mean post mean or false things about others online.

D. Answer in one word.
1. Name the act which provides rules for how digital systems, including AI, should
be used.

2. Write the term refers to unfair decisions that favour some people over others.

3. Name the bias which happens when only tall students are chosen for a team
without checking their skills.
4. Name the process called where the final decision is made by humans, even with
the assistance of AI.

5. Right that allows you to explore information and use the internet for learning
and education.

Ethics and AI Bias Awareness 83