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    What if AI Makes Mistakes: Yes, it's true, AI can make mistakes. It's recorded that in 2016, when the
                       Uber company conducted a test on self-driving cars in San Francisco, Uber’s autonomous vehicle ran
                       six red lights. The situation got out of hand, but a licenced driver was made to sit behind the wheel in
                       case of emergency so he took over control of the situation immediately. In another situation in the
                       same year, Microsoft’s chatbot, Tay was released on Twitter. It is based on machine learning, natural

                       language processing and social networks. It learnt its language from the people on Twitter over time
                       that enabled it to have a meaningful conversation based on a topic. But sadly, it was taken offline
                       within 16 hours of its launch as it started tweeting randomly some abusive and offensive content.

                     ETHICAL PILLARS OF AI

                     To make AI systems more accurate, fair and trustworthy, it is essential to recognise and address the
                     factors that cause these biases. One effective way to achieve this is by integrating ethics into AI design
                     and development. When ethical principles are included from the very beginning, AI can be built to
                     respect fairness, transparency and equality, ensuring it benefits all people—not just a few.

                             Privacy          Transparency        Explainability      Robustness            Fairness

                            AI systems           The way            AI should          AI should be       AI must treat
                           must protect          AI makes          provide clear       safe, reliable       all people
                             personal            decisions          reasons for        and able to         equally and
                             data and           should be          its actions or     handle errors       avoid bias or
                           avoid misuse          open and           decisions.        or unexpected      discrimination.
                              of user             easy to                               situations.
                           information.        understand.

                                                              5 Pillars of AI Ethics

                     Because doing so ensures that AI systems are:

                         Human-centric  design: Ethical AI places human well-being,  dignity  and values at the centre of
                       technological development. It ensures that AI systems are designed to serve people, support their
                       rights and meet their real-world needs. This involves creating user-friendly, inclusive and accessible
                       solutions that enhance both individual experiences and broader societal benefits.

                         Fair and unbiased: One of the key goals of ethical AI is to reduce and prevent bias in algorithms
                       and decision-making processes. This means actively working to eliminate discrimination based on
                       race, gender, age or socioeconomic background. By promoting fairness, equity and inclusivity, AI can
                       support just and balanced outcomes for all users.

                                                                                                 Fields & Future of AI  41

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