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Reboot

                     1.  What does UNESCO stand for?


                     2.  What does COMPAS stand for?






                          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     equally and
                                     data and      should be    its actions or   to handle   avoid bias or
                                    avoid misuse   open and      decisions.    errors or   discrimination.
                                      of user       easy to                   unexpected
                                    information.  understand.                  situations.



                                                             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.
                     • Data privacy and protection:  Ethical  AI  emphasises  the  importance  of  safeguarding
                     individuals' personal data. This involves transparent and responsible data collection, secure
                     storage,  and  ethical  usage  practices.  Respecting  privacy  rights  not  only  protects  sensitive
                     information but also strengthens user trust and confidence in AI systems.



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