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College of Computing and Mathematics
Information & Computer Science Department
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Presents an Online Seminar
"Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need?"
Date: Monday, 31st October 2022
Time: 02:30 pm – 3:45 pm
Location: Bldg. 59, Room 1005
Speaker:
Ms. Asma Yamani,
PhD, CS.
King Fahd University of Petroleum & Minerals.
Abstract:
The potential for machine learning (ML) systems to amplify social inequities and unfairness is receiving increasing popular and academic attention. A surge of recent work has focused on the development of algorithmic tools to assess and mitigate such unfairness. If these tools are to have a positive impact on industry practice, however, it is crucial that their design be informed by an understanding of real-world needs. Through 35 semi-structured interviews and an anonymous survey of 267 ML practitioners, we conduct the first systematic investigation of commercial product teams' challenges and needs for support in developing fairer ML systems. We identify areas of alignment and disconnect between the challenges faced by teams in practice and the solutions proposed in the fair ML research literature. Based on these findings, we highlight directions for future ML and HCI research that will better address practitioners' needs.
This presentation will be followed by a short talk and a demo on HuggingFace platform and its ML democratization efforts. It will also touch on how open source ML ecosystems and ML systems prototyping can help in addressing fairness issues from datasets to models.
Short bio of presenter:
Asma is a Computer Science PhD student at KFUPM. Her research interest is in Applied Machine Learning. More specifically in solving problems related to Petroleum Engineering and Energy using AI. She is a HuggingFace Student ambassador and has been recently exploring fairness, ethical and usability issues related to AI systems.
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All faculty, researchers and graduate students are invited to attend.
Information & Computer Science Department, College of Computing and Mathematics
Telephone: +966 (13) 860 2175, Email: c-ics@kfupm.edu.sa, Website: www.kfupm.edu.sa/departments/ics/
Copyright © 2014 King Fahd University of Petroleum & Minerals
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