BIAS is an interfaculty research initiative composed of experts from philosophy, law, and computer science, bringing together epistemological and ethical, theoretical and practical perspectives.
Our shared research question is:
How can we ensure that big data analysis and algorithm-based decision-making are unbiased and nondiscriminatory?
BIAS provides philosophical analyses of relevant concepts and principles, investigates their utilisation in pertinent legal frameworks, and develops technical solutions such as debiasing strategies and discrimination detection procedures.
Our core systematic commitment is:
It is not just the algorithms, but rather the entire system of computer predictions and human decisions, which must qualify as unbiased and nondiscriminatory.