Bias and Fairness in AI
Workshop at ECMLPKDD 2020, Ghent, Belgium, September 18, 2020
News! SIGKDD Explorations special issues on Fairness and Bias in AI published!
AI techniques based on big data and algorithmic processing are increasingly used to guide decisions in important societal spheres, including hiring decisions, university admissions, loan granting, and crime prediction. They are applied by search engines, Internet recommendation systems and social media bots, influencing our perceptions of political developments and even of scientific findings. However, there are growing concerns with regard to the epistemic and normative quality of AI evaluations and predictions. In particular, there is strong evidence that algorithms may sometimes amplify rather than eliminate existing bias and discrimination, and thereby have negative effects on social cohesion and on democratic institutions.
Scholarly reflection of these issues has begun and despite the large volume of related research lately a lot of work remains to be done. In particular, we still lack a comprehensive understanding of how pertinent concepts of bias or discrimination should be interpreted in the context of AI and which technical options to combat bias and discrimination are both realistically possible and normatively justified. The workshop will discuss these issues based on the shared research question: How can standards of unbiased attitudes and non-discriminatory practices be met in (big) data analysis and algorithm-based decision-making?
Topics of Interest
The workshop will focus (but is not limited) on the following topics: