Bias in Data and Algorithmic Systems: Problems, Solutions and Stakeholders

28^th October 2020, 14:00 Online Webinar
Dr Jahna Otterbacher
Open University of Cyprus (OUC)

Abstract

Mitigating bias in algorithmic processes and systems is a critical issue drawing increasing attention across research communities within the information and computer sciences. Given the complexity of the problem and the involvement of multiple stakeholders – not only developers, but also end-users and third parties – there is a need to understand the landscape of the sources of bias, as well as the solutions being proposed to address them. In this talk, I present insights from a recent survey of 250+ articles across four domains (machine learning, information retrieval, HCI, and RecSys), providing a “fish-eye view” of the field. In the second part of the talk, I will discuss examples of our previous work on auditing proprietary computer vision systems for social biases, positioning this work vis-à-vis the aforementioned framework as well as the emerging science of machine behavior.

The talk will last approximately 20-25 minutes, followed by a 15 minutes Q&A session