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

Event Information

Share this event

Date and Time



Online Event

Event description
Bias in Data and Algorithmic Systems: Problems, Solutions and Stakeholders by Dr Jahna Otterbacher

About this Event

WiT Lecture Series

Online Webinar: “Bias in Data and Algorithmic Systems: Problems, Solutions and Stakeholders”

This is a live online webinar hosted by University of Liverpool, School of Electrical Engineering, Electronics and Computer Science, as part of the WiT Lecture series. The talk will be followed by a Q/A session.

Guest Speaker: Dr Jahna Otterbacher

From the faculty of the Open University of Cyprus (OUC), School of Pure and Applied Sciences.

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

Please register your attendance. The link and details to join the online event will be sent to you on Monday 26th October, following your registration.

Share with friends

Date and Time


Online Event

Save This Event

Event Saved