Page 412 - AI Ver 3.0 Class 11
P. 412

Fair Treatment:  Make  rules  to  ensure  AI  treats
                everyone fairly and respects their rights.
                                                                      Transparency:  Provide  honest  explanations  of
                                                                      how  AI  functions  and  ensure  transparency  in  its
                                                                      decision-making processes.
                Safety: Implement measures to keep AI systems safe
                and secure for users.
                                                                      Accountability: Hold decision-makers responsible if
                                                                      something goes wrong with AI usage.
                Clear Standards: Establish clear rules and standards
                for using AI, covering areas like data protection and
                bias prevention.                                      Inclusivity: Consult diverse stakeholders, including
                                                                      government  officials,  businesses,  scientists,  and
                Risk Assessment: Before using AI, identify potential   community groups, when creating AI policies.
                problems  and  risks,  and  have  plans  in  place  to
                address them.

              Understanding the components of AI policies involves examining guidelines and principles established by various
              organisations and regulatory bodies.


              IBM AI Ethics Board
              Focus: Ethical development and deployment of AI technologies across various industries.

              Components:
                 • Principles for responsible AI development and deployment, including fairness, explainability, transparency, privacy,
                 and robustness.

                 • Drafting rules and guidelines that people should adhere for using and preparing AI stuff.
                 • Identifying how to be fair, honest, and responsible and reduce unfairness in AI stuff.
                 • Discussing with all the people involved in AI, like researchers, government people, and businesses, to work together
                 on being ethical with AI.

                 • Educating people about AI ethics through education and resources so everyone knows how to do AI stuff the right way.

              Microsoft’s Responsible AI Page
              Focus: Corporate responsibility and ethics in AI
              Components:

                 • Guidelines  for  making  and  using  AI  responsibly,  like  being  fair,  dependable,  respect  of  privacy,  and  welcoming
                 everyone.
                 • Helpful stuff like fairness checks and programs that find biases, to make sure ethical concerns are part of AI projects.
                 • Real-life examples and good ways to use AI responsibly in different areas, showing what works well.

              Artificial Intelligence at Google
              Focus: Corporate AI ethics and governance

              Components:
                 • Google’s rules for making AI ethically, covers fairness, safety, privacy, and accountability.
                 • Ways to make AI systems that focus on what’s important to people and making society better.

                 • Promises to be open, work together, and keep getting better at how AI is controlled and decisions are made.


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