Cognitive biases are distortions in the way we process information in the course of our thinking.
The term bias refers to a systematic deviation of logical, rational thinking from reality.
Our brains receive an enormous amount of information every day. To process this information quickly, it uses shortcuts. Cognitive biases are therefore errors of judgment caused by our quick thinking and unconscious prejudices. This can lead us to make decisions that are irrational and unfair to others.
In artificial intelligence, algorithmic bias is a real issue. Most often, it involves training machines with subjective data.
If we’re not careful, algorithmic biases can maintain or aggravate inequalities and lead to discrimination.
Example: if an algorithm is trained on historical data that shows racist or sexist prejudices, it can reproduce these prejudices in its decisions. This can have serious consequences on important aspects of life, such as hiring, bank loans, access to education, housing, etc…