Why Do We Need to Talk About Ethics and Bias in AI?

Author: Kim Escherich

Publisher: IBM Nordic Blog

Publication Year: 2019

Summary: The following article discusses how as digitization has been extended, we started to consider how far we can extend it with the concerns of ethics. Most people seem to blindly assume that the result from a computer is correct while it is perfectly natural to fail when it has been calculated by a human being. It seems we give computers and those algorithms more authority when we try to make a decision. To think in this way means that humans are biased and prejudiced and we may inadvertently feed the algorithms with prejudice, bias and wrong decisions. The illogical, unfair, racism and other bias may already slip into the algorithms which we think are more logical, and independent and only tell the facts. This is the reason why we need to talk about ethics and bias. We need to discuss how to best utilize the algorithms, how to understand if they contain bias, and where we should set a boundary in the right places.


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