These Class 10 AI Important Questions Chapter 3 AI Ethics Class 9 Important Questions and Answers NCERT Solutions Pdf help in building a strong foundation in artificial intelligence.
AI Ethics Class 9 Important Questions
Class 9 AI Ethics Important Questions
Important Questions of AI Ethics Class 9 – Class 9 AI Ethics Important Questions
Objective Type Questions
Question 1.
The guiding principles to decide what is good or bad is known as $\qquad$
Answer:
ethics
Question 2.
When building Al solutions, we need to ensure that they follow $\qquad$
Answer:
ethical principle
Question 3.
Praneet has taken extra packets of mouth freshener after dinner from a restaurant. Is it considered as theft? Is it -Moral or Ethical concern?
Answer:
Both Moral and Ethical
Question 4.
Rakshit and Aman’ are talking about purchasing a new mobile. They discuss various features which they want in their mobile. Aman finds that, he started getting notification of various models of Mobiles that meets his requirement? Write which ethical concern the above example depicts.
Answer:
Rakshit and Aman’s situation depicts the ethical concern of privacy. Their online discussions influencing targeted advertising is a potential privacy intrusion.
Question 5.
“Preference for one over the other” is known as …………….
Answer:
Bias
Question 6.
Artificial Intelligence and machine learning systems can display unfair behaviour if not trained properly. (True/False)
Answer:
True
Question 7.
Search for images of personal secretary on Google, displaying predominantly the images of Women is an example of ……. .
Answer:
gender bias
Question 8.
An Ethical AI framework makes sure that transparency, fairness and accountability is develop into the systems to provide unbiased results.
(True/False)
Answer:
True
AI Ethics Class 9 Subjective Type Questions
Question 1.
Differentiate between Ethics and Moral with suitable examples.
Answer:
Difference between Ethics and Morals
Question 2.
Define principles of Al ethics.
Answer:
Refer to text on page no. 148 (Principles of AI Ethics).
Question 3.
Explain Data privacy.
Answer:
Data privacy is a major concern in AI ethics because AI systems rely on vast amounts of data, which can contain personal information.
This raises issues of:
- Collection Is data collected fairly and with user knowledge?
- Use Is data used only for its intended purpose?
- Bias Can biased data lead to biased AI decisions?
- Security Is personal data secure from breaches?
Ethical AI requires data privacy measures to protect individuals and ensure responsible AI development.
Question 4.
Craft a description of how considerations for inclusivity are addressed during the development of Al models.
Answer:
Inclusivity is considered in AI development:
Diverse Teams People from various backgrounds bring different perspectives to identify and mitigate biases in data and algorithms.
Inclusive Data Data collection considers diverse populations to avoid bias towards certain groups.
Fairness in Design AI systems are designed to be accessible and avoid discrimination based on factors like age, race, or disability.
Question 5.
Write major issues around AI ethics.
Answer:
Some major issues around AI ethics are:
Bias AI systems can inherit and amplify biases from the data they’re trained on, leading to discriminatory outcomes.
Privacy AI development often relies on vast amounts of personal data, raising concerns about collection, storage, and misuse.
Transparency Many AI systems are complex and opaque, making it difficult to understand how they reach decisions.
Security AI systems can be vulnerable to hacking or manipulation, potentially causing harm.
Question 6.
A company had been working on a secret AI recruiting tool. The machine-learning specialists uncovered a big problem: their new recruiting engine did not like women chefs. The system taught itself that male candidates are preferable. It penalised resumes that included the word “women chef”. This led to the failure of the tool.
a. What aspect of Al ethics is illustrated in the given scenario?
b. What could be the possible reasons for the ethical concern identified?
Answer:
a. Bias in AI is illustrated in this scenario.
b. Possible reasons for the bias:
Truining Data The AI might have been trained on a dataset with a historical underrepresentation of women chefs. This can lead the model to associate “women chef” with qualities not typically desired in chefs.
Word Association The algorithm might have misinterpreted “women chef” as a negative term due to subconscious societal biases reflected in how the training data is written.
Question 7.
As Artificially Intelligent machines become more and more powerful, their ability to accomplish tedious tasks is becoming better. Hence, it is now that AI machines have started replacing humans in factories. While people see it in a negative way and say AI has the power to bring mass unemployment and one day, machines would enslave humans, on the other hand, other people say that machines are meant to ease our lives. If machines over take monotonous and tedious tasks, humans should upgrade their skills to remain their masters always.
What according to you is a better approach towards this ethical concern? Justify your answer.
Answer:
A balanced approach is best towards the ethical concern of AI replacing humans in factories. Embracing AI for its efficiency and potential to take over monotonous tasks can lead to greater productivity and innovation. However, it is crucial to simultaneously invest in education and training programs to help workers develop new skills and adapt to evolving job markets. This way, humans can remain in control and benefit from technological advancements, ensuring that AI serves to enhance human life rather than detract from it.
AI Ethics Class 9 Very Short Answer Type Questions
Question 1.
What is Al bias, and how does it occur?
Answer:
AI bias is unfair outcomes in Al systems due to human bias in decisions, flawed and unbalanced data collection and no proper bias testing.
Question 2.
How can diverse training data mitigate AI bias?
Answer:
Diverse training data ensures fair AI by exposing systems to varied examples, preventing skewed outcomes or discrimination.
Question 3.
Why is ethical AI design crucial in AI development?
Answer:
Ethical design ensures fairness, transparency, and accountability in AI algorithms, preventing unintentional biases and promoting equitable outcomes.
Question 4.
How does regular auditing help mitigate AI bias?
Answer:
Regular audits identify and correct biases in AI systems over time, ensuring continuous fairness and addressing emerging issues promptly.
Question 5.
Why is inclusive development essential for reducing Al bias?
Answer:
Inclusive development teams bring diverse perspectives, minimizing unintentional biases and creating AI systems that cater to a broader range of users.
Question 6.
Why is transparency important in Al?
Answer:
Transparency helps understand AI decisions, fostering trust and accountability, crucial for ensuring fairness and ethical behaviour.
Question 7.
How can regulations contribute to a better future for Al ethics?
Answer:
Regulations can reduce AI risks, addressing issues like mass surveillance and human rights violations for a balanced and ethical AI.
Question 8.
Name one feature of Ethical AI that promotes social well-being.
Answer:
Ethical AI prioritizes social well-being, working for the benefit of individuals, society, and the environment.
AI Ethics Class 9 Short Answer Type Questions
Question 1.
Describe reason of Al bias.
Answer:
Refer to text on page no. 148 (Reason of AI bias).
Question 2.
What are Morals?
Answer:
Refer to text on page no. 147 (Morals).
Question 3.
Give some examples of AI bias.
Answer:
Refer to text on page no. 148 (Bias).
AI Ethics Class 9 Long Answer Type Questions
Question 1.
Write about the AI ethical issues.
Answer:
AI presents several ethical issues, including:
1. Bias and Discrimination AI systems can perpetuate or even amplify biases present in training data, leading to unfair treatment based on race, gender, or other attributes.
2. Privacy Concerns AI technologies often require vast amounts of data, raising concerns about surveillance, data security, and user consent.
3. Autonomous Decision-Making The use of AI in critical areas like healthcare and criminal justice raises questions about accountability and the appropriateness of machine-made decisions.
4. Job Displacement Automation and AI can lead to significant job losses, particularly in industries reliant on repetitive tasks, necessitating discussions on retraining and economic support.
5. Transparency Many AI systems operate as “black boxes,” making it difficult to understand their decision-making processes, which can hinder accountability.
6. Weaponization The development of autonomous weapons systems poses significant risks, including the potential for unintended escalations in conflict.
7. Misinformation AI can be used to create deepfakes and other misleading content, contributing to the spread of false information and impacting public trust.
Question 2.
In 2014, Amazon developed an AI recruiting system to streamline their hiring process. It was found to be discriminatory against women as the data used to train the model was from the past 10 years, where most selected applicants were men due to the male dominance in the tech industry. Amazon scraped this system in 2018. This is an example of which Al ethical issue and also name the other ethical issues.
Answer:
This situation demonstrates the problem of bias and fairness in AI. Amazon’s recruiting system unfairly favored men over women because it was trained on data from a time when men were more likely to be hired in the tech industry. This resulted in discrimination against female applicants. To address this issue, Amazon discontinued the system in 2018.
This scenario shows how Amazon’s AI recruiting system unfairly favored men over women, which is an example of the ethical issue of bias and fairness in AI. The system’s training data from the past 10 years reflected a male-dominated tech industry, leading to discrimination against female applicants.
Other ethical issues involved include privacy concerns regarding the data used in the system and the potential for misuse of personal information. Additionally, there may have been issues related to transparency and accountability in how the AI system was developed and implemented. Overall, this situation highlights the importance of addressing multiple ethical considerations in AI applications.
AI Ethics Class 9 Activities
Activity
In this activity, students will explore the Moral Machine website, a platform that gathers a human perspective on moral decisions made by machine intelligence, such as self-driving cars.
Students will play the role of major stakeholders, and they have to decide what is ethical and what is not for a given scenario.
Materials.
- Computers with internet access
- Projector (optional)
- Whiteboard or chart paper (optional)
Procedure
1. Begin by introducing the concept of self-driving cars and the ethical dilemmas that they present.
2. Divide the students into small groups.
3. Instruct the students to visit the Moral Machine website (https://www.moralmachine.net/).
4. Explain to the students that they will be presented with a series of moral dilemmas in which a self-driving car must choose the lesser of two evils.
5. For each dilemma, the students should discuss the following questions:
- What is the situation?
- What are the possible outcomes?
- What is the most ethical decision for the self-driving car to make?
- Why?
6. After the students have had time to discuss each dilemma, have each group share their thoughts with the class.
7. As a class, discuss the different perspectives that were raised.
8. Debrief the activity by asking the students the following questions:
- What are some of the challenges of programming self-driving cars to make ethical decisions?
- Who should be responsible for making decisions about the ethics of self-driving cars?
- How can we ensure that self-driving cars are programmed in a way that is fair and unbiased?
- Extension Activities
- Have the students design their own moral dilemmas for self-driving cars.
- Have the students research the ethical guidelines that are being developed for self-driving cars.
- Have the students debate the pros and cons of self-driving cars.
This activity can be adapted to fit the needs of your students and the time constraints of your class. It is a great way to get students thinking about the ethical implications of artificial intelligence.
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