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2.   Choose the factor that bias in AI typically reflects.
                        a.  Technological advancements
                        b.  Social prejudices about race, gender, age, and culture

                        c.  Random data anomalies

                        d.  Errors in coding
                    3.   Robustness in AI systems refers to:
                        a.  The ability to explain decisions

                        b.  Reliability and accuracy across various conditions
                        c.  Transparency in data usage

                        d.  Cost reduction

                    4.   Transparency in AI involves:
                        a.  Keeping algorithms secret
                        b.  Openness about data, algorithms, and decision-making processes

                        c.  Reducing the computational cost
                        d.  Hiding the decision-making process from users

                    5.   Which of the following best explains the importance of privacy 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.   Which of the following is essential for reducing unfairness and correcting biased patterns in AI?
                        a.  Only post-processing techniques

                        b.  Using small datasets
                        c.  Pre-processing and post-processing techniques

                        d.  Ignoring data quality

                    7.     Identify the privacy risk associated with human-like AI.
                        a.  AI ignores personal data
                        b.  AI helps protect private conversations
                        c.  AI can track and store sensitive information without consent

                        d.  AI is incapable of storing any data

                    8.   Identify the one way that reduces AI’s environmental impact.
                        a.  Use renewable energy sources for data centres
                        b.  Increase the use of non-renewable energy

                        c.  Increase the number of data centres
                        d.  Use AI systems with high power consumption





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