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SECTION B (Subjective Type Questions)

A. Short answer type questions.
1. What is AI ethics?
Ans. AI ethics refers to a set of moral principles and practices designed to guide the development and
responsible use of Artificial Intelligence technology.
2. Why is privacy a significant concern in AI ethics?
Ans. Privacy protects individual independence, dignity, and the right to be free from unnecessary intrusion. In
AI, it involves ensuring that personal data and activities are kept secure and not misused.
3. What is AI bias?

Ans. AI bias is a phenomenon which occurs when algorithm results are systematically biased against a certain
gender, language, race, wealth, etc.
4. List any two positive effects of human-like AI.
Ans. Two positive effects of designing AI to replicate Human life are:
● Efficiency and productivity

● Safety in dangerous jobs
5. Explain the term “Bias Awareness”.
Ans. Bias awareness means understanding that AI systems can show unfair preferences due to factors like
training data used to train the AI models, rules they follow, the algorithms they use, or the principles
with which the AI model was designed. This awareness involves understanding that AI may occasionally
make biased decisions because of how AI model was developed or trained.
6. Why environmental protection is important in AI?
Ans. AI should not only help people. It should also help protect the planet. If we use technology without caring
for nature, it can harm the Earth by increasing pollution, wasting energy, and creating more waste.
Ethical AI focuses on sustainability. This means using resources wisely so that future generations can also
enjoy a healthy environment.
7. How can training data bias affect AI systems?
Ans. Training data bias occurs when the data used to train AI systems is unrepresentative or incomplete.
This can cause the AI to perform poorly for under represented groups, leading to unfair outcomes and
inaccuracies.
8. What is cognitive bias, and how does it impact decision-making?
Ans. Cognitive bias refers to systematic patterns of deviation from rationality in judgement or decisionmaking,
influenced by emotions, personal experiences, and social norms. It impacts decision-making by causing
individuals to make irrational or partial judgements.

B. Long answer type questions.
1. Explain the five core principles of AI ethics codes.
Ans. The five core principles of AI ethics codes are fairness, robustness, explainability, transparency, and
privacy. The description of each are as follows:

● Fairness: Fairness is a crucial aspect of ethics in AI because it ensures that AI systems treat
all individuals and groups equitably and without bias. In AI, fairness means that the outcomes
produced by algorithms do not disproportionately harm or advantage specific demographics
based on characteristics such as race, gender, religion, ethnicity, or socioeconomic status.

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