Do you fear biased machine learning algorithms?

We develop algorithm which shall operate similar to the human brain, but we are frightened of possible wrong decisions taken by these algorithms. What standards are we setting for algorithmic decision making and what for human decision making?

• Do we have human brains under control? No.
• Do we accept human decisions although  we know that they are biased? It depends.
• Do we trust human decisions? Not always.
• Do we know why it comes to a decision by human? Not sure.
• Is the a human decision valid? Not always. 
• Is a false decision better than no decision? It depends.

Why do we want to control and validate the decision making of machine learning algorithm then?
Most machine learning try do one job well: They learn and try to predict.

Of course we must see every prediction with a probability that the prediction occurs.

The best way to test the black box of algorithms to see if their output leads to good results.

If algorithm learn and predict well they will get another chance. If not they needs to be trained again. 

"It is not the strongest of the species that survives, nor the most intelligent that survives. It is the one that is most adaptable to change."
Charles Darwin

We shouldn't assume that algorithm programmed by humans are without any bias. They are erroneous, incomplete, biased, weak in some points, but they have also strengths. We should take use of the strengths and accept that artificial intelligence is not without fail. 

I recommend to spend not so much effort in controlling algorithms but in training and feedback.

"To kill an error is as good a service as, and sometimes even better than, the establishing of a new truth or fact." 
Charles Darwin

Take an athlete as example. Is he getting better if you always tell him that he operates as expected or not? Or do you achieve better results if you show him best practices and coach him while practicing.

Even algorithms need our feedback to develop passion to do great job. 
Instead of control, we should collaborate and improvise.

"In the long history of humankind (and animal kind, too) those who learned to collaborate and improvise most effectively have prevailed."
Charles Darwin