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Harnessing Technology for Social Good Lecture Series - How Social Workers Can Contribute to Fairness in AI

Event Type
Lecture
Sponsor
School of Social Work
Location
Online
Virtual
Date
Feb 2, 2021   12:00 - 1:00 pm  
Speaker
Speaker: Melanie Sage, PhD, MSW, Assistant Professor, University at Buffalo School of Social Work
Cost
FREE
Registration
Registration
Contact
Amy Frederick
E-Mail
aeweber@illinois.edu
Views
74
Originating Calendar
School of Social Work Event Calendar

In this presentation, Dr. Sage offers an overview of her work exploring algorithm fairness regarding the use of machine learning and child welfare data. This work involves assessing which older youth in care receive which services, how services impact outcomes, and whether there are ways to use this data to improve fairness in service allocation through the use of algorithms. The National Science Foundation and Amazon jointly funded this work to identify ways to improve fairness and mitigate bias in machine learning. Dr. Sage is working with a team of computer scientists and other researchers to tackle this issue. She will discuss the ways that interdisciplinary collaborations can improve research in this area, their process for developing an ethics and values statement to guide their work, and the importance that social workers understand how algorithms work so that they know when to advocate for and against their use and assure that their agency stakeholders make informed decisions about the incorporation of machine learning in this work.

 

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