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B. Fill in the blanks.

1. One of the key principles of AI Ethics is ensuring ____________ for everyone, just like in a classroom
where everyone gets a fair chance.

2. In the context of AI Ethics, ensuring that personal information is kept private is known as ____________.
3. The GIGO principle in AI emphasizes that the quality of output depends on the ____________ of input
data.
4. Incomplete Data Bias occurs when decisions are made based on only part of the ____________, leading
to incomplete or inaccurate outcomes.
5. Privacy concerns in AI include issues related to ____________, where machines collect and analyze a lot
about our lives.

6. AI Adoption Concerns include worries about job displacement and the impact on ____________,
according to McKinsey Global Institute and Oxford Economics research.

C. State ‘T’ for True or ‘F’ for False statements
1. AI Ethics is like a set of guidelines that don’t impact the behaviour of smart machines.

2. AI-controlled systems are only used in a few sectors and not extensively in various areas such as
banks and healthcare.
3. The GIGO principle suggests that the quality of output from an AI system is independent of
the quality of its input data.
4. The Problem of Inclusion in AI Systems is not concerned with biased decisions and unfair
training data.

5. According to McKinsey Global Institute, AI adoption will displace 75 million jobs but generate 133
million new ones by 2022.
D. Answer the following questions.
1. What is AI Ethics, and why is it important in the context of smart machines?

2. How are AI-controlled systems extensively utilized, and in which sectors are they commonly found?
3. Explain the GIGO principle in AI and its significance in ensuring accurate and reliable outcomes.
4. How does the adoption of AI systems impact the future of jobs, according to McKinsey Global Institute?

5. Summarize the lesson learned from the Tale of Tay, the Twitter Bot regarding the development and
behaviour of AI.

6. Why do privacy concerns arise in the context of AI, and what is an example of such a concern?

Competency Based Learning

1. Rohan wants to use an AI application that uses NLP to create human-like dialogues. Can you suggest
which type of application will he use?
2. Rahul, a software developer, fed wrong input while developing an AI model. Can you suggest what kind
of output does the AI system yields?

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