AI Ethics and Values Class 11 NCERT Solutions

AI Ethics and Values Class 11 NCERT Solutions – The CBSE has updated the syllabus for St. XI (Code 843). The NCERT Solutions are made based on the updated CBSE textbook. All the important information is taken from the Artificial Intelligence Class XI Textbook Based on the CBSE Board Pattern.

AI Ethics and Values Class 11 NCERT Solutions

A. Multiple Choice Questions

1. What is the primary focus of AI ethics?
a. Ensuring AI systems are efficient and error-free
b. Guiding the development and use of AI technologies according to ethical principles
c. Maximizing the profitability of AI technologies
d. Focusing solely on the technological advancements in AI

    Show Answer ⟶
    b. Guiding the development and use of AI technologies according to ethical principles

    2. Which ethical principle is concerned with fairness and justice in AI systems?
    a. Transparency
    b. Accountability
    c. Bias and fairness
    d. Privacy

      Show Answer ⟶
      c. Bias and fairness

      3. What role does transparency play in AI ethics?
      a. Ensuring AI systems are invisible to users
      b. Making the AI decision-making process clear and understandable
      c. Keeping the AI technologies a secret
      d. None of the above

        Show Answer ⟶
        b. Making the AI decision-making process clear and understandable

        4. What is a major ethical concern related to AI and privacy?
        a. AI systems improving data security automatically
        b. AI technologies accessing and using personal data without consent
        c. AI enhancing user privacy by default
        d. None of the above

          Show Answer ⟶
          b. AI technologies accessing and using personal data without consent

          5. How can bias in AI systems impact society?
          a. By making AI systems more efficient
          b. By perpetuating and exacerbating existing inequalities
          c. By improving fairness and justice automatically
          d. None of the above

            Show Answer ⟶
            b. By perpetuating and exacerbating existing inequalities

            6. Which of the following strategies is suggested for mitigating bias in AI systems?
            a. Ignoring the bias
            b. Increasing the complexity of AI algorithms
            c. Regular audits and inclusive data practices
            d. Focusing solely on the technological aspects

              Show Answer ⟶
              c. Regular audits and inclusive data practices

              7. What is the purpose of ethical frameworks and guidelines in AI?
              a. To restrict the development of AI technologies
              b. To ensure AI development aligns with human values and ethical principles
              c. To make AI systems less transparent
              d. None of the above

                Show Answer ⟶
                b. To ensure AI development aligns with human values and ethical principles

                8. Who is responsible for ensuring the ethical use of AI systems?
                a. AI developers only
                b. Government bodies only
                c. Users only
                d. All stakeholders, including developers, governments, and users

                  Show Answer ⟶
                  d. All stakeholders, including developers, governments, and users

                  9. What is an example of AI assisting humanity as mentioned in the unit?
                  a. Reducing energy efficiency in buildings
                  b. Enhancing mental health care through AI-powered chatbots
                  c. Increasing bias in hiring processes
                  d. Decreasing crop yield predictions accuracy

                    Show Answer ⟶
                    b. Enhancing mental health care through AI-powered chatbots

                    10. What is the role of AI ethics in the context of autonomous vehicles?
                    a. To ensure vehicles are aesthetically pleasing
                    b. To navigate ethical dilemmas such as decision-making in critical situations
                    c. To make autonomous vehicles less safe
                    d. None of the above

                      Show Answer ⟶
                      b. To navigate ethical dilemmas such as decision-making in critical situations

                      B. True/False

                      1. Ethical considerations in AI are only relevant for AI researchers and developers.

                      Show Answer ⟶
                      False

                      2. Bias in AI systems can lead to unfair and discriminatory outcomes.

                      Show Answer ⟶
                      True

                      3. Transparency in AI systems means making the algorithm’s code publicly available.

                      Show Answer ⟶
                      False

                      4. Bias in AI systems can lead to unfair outcomes and reinforce existing societal inequalities.

                        Show Answer ⟶
                        True

                        5. Transparency is not important in AI decision-making processes as long as the outcomes are beneficial.

                          Show Answer ⟶
                          False

                          6. Understanding the fundamental concepts of ethics is irrelevant in the context of artificial intelligence.

                            Show Answer ⟶
                            False

                            7. Analyzing real-world examples of AI bias provides insights into the ethical challenges in AI development.

                              Show Answer ⟶
                              True

                              8. Identifying bias in AI systems has no impact on society.

                                Show Answer ⟶
                                False

                                9. Evaluating strategies to mitigate bias in AI systems is unnecessary.

                                  Show Answer ⟶
                                  False

                                  10. The ability to critically analyze the ethical implications of AI technologies does not require considering their impact on society.

                                    Show Answer ⟶
                                    False

                                    C. Fill in the Blanks

                                    1. Understanding the fundamental principles of ethics is crucial to applying ethical considerations in the field of _.

                                      Show Answer ⟶
                                      Artificial intelligence (AI)

                                      2. The ability to critically analyze the ethical implications of AI decision-making processes requires a deep understanding of their __ on individuals and society.

                                        Show Answer ⟶
                                        Impact

                                        3. Investigating various types of bias in AI systems enables students to understand their
                                        _ implications.

                                          Show Answer ⟶
                                          Ethical

                                          4. __ in AI systems can lead to unfair and discriminatory outcomes, making it essential to address issues of bias, fairness, and equity.

                                            Show Answer ⟶
                                            Bias

                                            5. In the context of AI, _ is important for making the decision-making processes of AI systems clear and understandable to users.

                                              Show Answer ⟶
                                              Transparency

                                              D. Short Answer Type Questions

                                              1. What is algorithmic bias, and can you give an example?

                                                Answer: Bias refers to when AI systems make unfair or inaccurate decisions due to flawed data or built-in assumptions, which can result in unfair outcomes for certain groups of people. For example, computer-aided diagnosis (CAD) systems have been found to return lower accuracy results for black patients than white patients.

                                                2. How can bias in AI systems be reduced?

                                                  Answer: If AI systems have bias, they can make existing problems like unfairness and discrimination. To reduce the bias from the AI system, do the following:

                                                  1. Always use diverse data.
                                                  2. Find the bias in AI systems before use.
                                                  3. We can make AI systems fairer by using special algorithms.
                                                  4. It is important for AI systems to be clear and explain how they make decisions.
                                                  5. When the AI system is designing, collect a team of people from different backgrounds and experiences.

                                                  3. Define AI ethics

                                                    Answer: AI ethics refers to the ethical principles and guidelines that govern the design, development, and deployment of AI technologies. AI ethics aims to ensure that AI systems are developed and used in ways that are fair, transparent, accountable, and aligned with human values.

                                                    4. Why is transparency important in AI systems?

                                                      Answer: Transparent AI frameworks provide clear documentation, disclosure, and communication about the data, algorithms, and decision-making processes used in AI applications. Transparency promotes accountability, scrutiny, and informed decisionmaking, enabling users and stakeholders to assess the ethical implications and societal impacts of AI technologies.

                                                      5. How can AI impact privacy and data protection?

                                                        Answer: Privacy refers to the right of individuals to control their personal information and to be free from unwanted intrusion into their lives. It encompasses the ability to keep certain aspects of one’s life private, such as personal communications, activities, and personal data. Privacy is essential for safeguarding personal autonomy, dignity, and freedom from unwarranted interference.

                                                        6. What role does fairness play in AI systems?

                                                          Answer: Fairness in AI seeks to remove bias and discrimination from algorithms and decision-making models. Machine learning fairness addresses and eliminates algorithmic bias from machine learning models based on sensitive attributes like race and ethnicity, gender, sexual orientation, disability, and socioeconomic class.

                                                          7. How can ethical dilemmas in AI be addressed?

                                                            Answer: An ethical dilemma in the context of artificial intelligence (AI) arises when there is a conflict between moral principles or values in the design, development, deployment, or use of AI technologies.

                                                            8. What strategies can mitigate bias in AI?

                                                              Answer: There are several strategies and techniques for mitigating bias in AI systems:

                                                              1. Using diverse data
                                                              2. Delecting bias
                                                              3. Fair Algorithms
                                                              4. Being Transparent
                                                              5. Inclusive Teams

                                                              9. What challenges do policymakers face in regulating AI?

                                                                Answer: Policymakers face several challenges in regulating AI.

                                                                1. It is difficult to create a universal rule that will fit every area.
                                                                2. AI can be used in different countries, so countries need to agree on the same rules.
                                                                3. Technology changes quickly, so rules can get outdated.
                                                                4. Policymakers should find the right balance between regulation and allowing new ideas.

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