itsebiasointi
Itsebiasointi, often translated as self-bias or inherent bias, refers to a phenomenon where an algorithm or system, through its design or the data it is trained on, exhibits systematic and unfair discrimination against certain individuals or groups. This bias is not necessarily intentional but arises from the data's reflection of existing societal prejudices or the way the algorithm is constructed. For instance, if a dataset used to train a facial recognition system contains a disproportionately low number of images of individuals from a particular ethnic group, the system may perform poorly when identifying those individuals, leading to biased outcomes.
The consequences of itsebiasointi can be significant, impacting areas such as hiring, loan applications, criminal justice,