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PRODID:-//University of Liverpool Computer Science Seminar System//v2//EN
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DTSTAMP:20260408T174602Z
UID:Seminar-WiT-964@lxserverA.csc.liv.ac.uk.csc.liv.ac.uk
ORGANIZER:CN=Othon Michail:MAILTO:Othon.Michail@liverpool.ac.uk
DTSTART:20201028T140000
DTEND:20201028T150000
SUMMARY:Women in Technology Series
DESCRIPTION:Dr Jahna Otterbacher: Bias in Data and Algorithmic Systems: Problems, Solutions and Stakeholders\n\nMitigating 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.\n\n\n\nThe talk will last approximately 20-25 minutes, followed by a 15 minutes Q&A session\n\nhttps://www.csc.liv.ac.uk/research/seminars/abstract.php?id=964
LOCATION:Online Webinar
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