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Microsoft created and released "Tay," an experimental Twitter chatbot. It was a conversation-
                  learning AI that was created to test various user scenarios. Tay, according to Microsoft, will become
                  smarter the more you converse with it. Sadly, Tay learned from hundreds of tweets and formed a
                  racist personality in less than 24 hours after its introduction.

                  There was no programming error or hacking for the consequences. The problem was that Tay did
                  exactly what it was designed to do. It started mimicking the users who were talking to it. It learned
                  from what was being fed to it without interpreting the inputs.





                    Facebook  is  developing  an  Artificial  Intelligence  design  to  understand  user
                    emotions, identify objects in photos, and predict user actions.




                  Components of a Good AI System


                  Following is the pyramid of principles for building a good AI policy.
































                  Ethical Concerns Related to the Adoption of the AI Systems


                  A significant amount of concern regarding the Artificial Intelligent systems arise from how it gets
                  adopted in the real world. The full potential of the technology can only be implemented if everyone
                  becomes a part of its network. An AI system is only as accurate and efficient as the amount of data
                  it learns from.
                  At the same time, fair and ethical use of this powerful technology is also very essential. Misuse of
                  these systems can lead to grave consequences and disasters that must be avoided at all costs.





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