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    AI does not think like humans. It only learns from the data it is trained on.
                               Computer scientist Joy Buolamwini tested AI technology used by major tech companies to
                                recognise faces.

                               Bias means the data is unbalanced or unfair, leading to unequal performance across different
                                groups.
                               AI should be designed to benefit everyone, not just a particular group, so that all applicants
                                have an equal chance, regardless of their gender, race or background.

                               The AI program learns from data such as the videos people watch, like or share.

                      A.  Tick ( ) the correct option.

                         1.  Choose the factor that caused the AI to misidentify clouds as faces.

                                   a)  No training data                       b)  Bias towards light-skinned men

                                   c)  Diverse training data                  d)  Trained only for clouds

                         2.  Select the factor that could make the AI identify football more than basketball.
                                   a)  Trained on football videos             b)  More football images in training data

                                   c)  Learned from basketball data           d)  Ignored all sports images
                         3.  Identify how AI learns to recognise objects like balls.

                                   a)  Human understanding                    b)  Recognising patterns in images

                                   c)  Random guesses                         d)  Learning from videos

                         4.  Choose the issue that arises if AI is trained with unbalanced data.

                                   a)  Favors one group                       b)  Perfect performance for all groups

                                   c)  Faster learning                        d)  No need for supervision

                         5.  Select the primary cause of biased AI decisions.
                                   a)  Poor algorithm design                  b)  Overuse of complex data

                                   c)  Biased training data                   d)  Lack of training

                      66         Artificial Intelligence (CT & AI)-VIII

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