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

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

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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.

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