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5.   Why is privacy important in AI?
                          a.  It helps in faster decision-making.        b.  It protects individual independence and dignity.
                          c.  It reduces the cost of data storage.       d.  It makes AI systems more accurate.
                     6.   What is one potential consequence of biased AI systems mentioned in the text?

                          a.  Decreased trust in technology              b.  Increased fairness in decision-making
                          c.  Enhanced user satisfaction                 d.  Greater reliance on AI systems
                     7.   What  is  the  primary  cause  of  facial  recognition  algorithms  having  difficulty  identifying  people  with  darker
                          complexions?
                          a.  Poor camera quality                        b.  Lack of diverse training data
                          c.  Over-representation of older faces         d.  Use of outdated algorithms

                     8.   Which of the following is NOT a strategy for mitigating bias in AI systems?
                          a.  Ethical guidelines and policies            b.  Unsupervised learning techniques
                          c.  Data transparency and quality              d.  Bias testing and auditing
                     9.   What does bias in AI typically reflect?
                          a.  Technological advancements
                          b.  Social prejudices about race, gender, age, and culture

                          c.  Random data anomalies
                          d.  Errors in coding
                     10.  What is meant by bias awareness in the context of AI?
                          a.  Understanding that AI systems can show unfair preferences
                          b.  Ensuring AI systems are technologically advanced

                          c.  Using only the latest AI algorithms
                          d.  Avoiding the use of AI in sensitive areas
                 B.   Fill in the blanks.

                     1.   Bias is defined as           against individuals or groups, especially in ways that are considered unfair.
                     2.   AI systems learn to make decisions based on         data.
                     3.   Data bias happens when some parts of a           are given too much weight or are over-represented.
                     4.                  AI promotes fairness and equity.

                     5.                  ensures that AI algorithms and systems function as intended without facing unforeseen errors or
                          deviating from their designated behaviour.
                     6.   The Moral Machine is an online platform designed to explore        dilemmas in AI through interactive
                          scenarios.
                     7.                  is defined as the discipline that deals with human moral obligations and duties.
                     8.                   refers  to  the  bias  that  can  be  present  in  the  rationality,  implementation,  and  outcomes  of
                          algorithms.
                     9.                   refers  to  systematic  patterns  of  deviation  from  rationality  or  objectivity  in  judgement  or
                          decision-making.
                     10.  AI bias in real life means that the decisions made by AI systems are not always    or accurate because
                          they are influenced by biases.





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