Digital technologies and artificial intelligence permeate every bit of our existence, and their uses regulate several aspects of our lives.
Knowing that the use of such technologies tends to increase and not to decrease in upcoming years, a team of researchers at Oregon State University developed a project that aims to tackle the issue of responsible development of artificial intelligence specifically in regards to fairness.
To enable human input in the design and implementation of algorithms, more specifically in adjusting the tradeoffs between prediction accuracy, prediction fairness, case coverage and algorithm training time. As well as training with (sub-)datasets from different historical periods, and different regions/countries, or of different age sets, racial/ethnic groups.
To avoid unfair decisions on a subset of data as opposed to the whole dataset.
To abstain from potentially inaccurate predictions or unfair decisions and invite human collaborators to investigate uncovered subsets.