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Reboot


                     1.  Is AI threat to human dignity? Justify.





                     2.  How is an AI system accountable for the actions it takes?









                          AI Bias


                  AI bias is an irregularity in the output of machine algorithms. This may happen during the algorithm
                  development process in which prejudiced assumptions were made or the training data was biased.
                  The main cause of bias in AI systems is the difference between facts and their interpretation. An
                  AI system accepts data and draws conclusions from it, but it is not equipped to understand why a

                  particular conclusion or learning was reached.


                  Types of AI Bias
                  There are mainly three types of AI bias:

                  1.   Perceptive biases: There may be operative feelings towards a particular group based upon
                     the group, one belongs to. Approximately 180 human biases are defined by psychologists.
                     These  can  affect  the  decisions  we  make.  These  may  also  disturb  the  machine  learning
                     algorithms by the designers, unknowingly introducing them into the model or the data set

                     on which the machines are trained.
                  2.   Incomplete data biases: When the data is not complete, it lacks accuracy. For example,

                     when research is done initially using a particular group, it may not represent the whole
                     population. Machine learning from such data may generate biased output.
                  3.   People: The developers of AI can also be a reason for the bias. The designers focussing on

                     achieving a specific goal with the available data, may not think of the other broader aspects
                     which may land onto these biased results.


                  Popular AI Bias Examples

                  Let us learn about some popular AI Bias examples:





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