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Subject:
From:
Styliani Kleanthous <[log in to unmask]>
Reply To:
Styliani Kleanthous <[log in to unmask]>
Date:
Mon, 22 Mar 2021 10:31:59 +0200
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Apologies for cross-postings

We invite you to attend the next Seminar in a series of talks in Fairness,
Accountability, Transparency and Ethics in Algorithmic Systems, organized
by the Cyprus Center for Algorithmic Transparency. This seminar will be
given by  Dr. Min Kyung Lee,  School of Information at the University of
Texas at Austin.

*Title: *Enabling participatory and procedurally-fair AI
Location: Online
Registration Link: https://www.eventbrite.com/e/cycat-march-seminar
-tickets-136275019251
<https://www.eventbrite.com/e/cycat-march-seminar-tickets-136275019251%EF%BB%BF>
Date and Time: 26/03/2021, 16:00 – 17:00 EET

*Abstract*: As artificial intelligence (AI) is transforming work and
society, it is ever more important to ensure that AI systems are fair and
trustworthy and support critical values and priorities in organizations and
communities. In this talk, I will first present empirical findings on
people’s trust and fairness around algorithms that make managerial and
resource allocation decisions. My research suggests that techniques for
distributive fairness are not sufficient for gaining people’s trust in AI.
Addressing this gap, I propose two frameworks for achieving
procedurally-fair and participatory AI: a procedural justice framework that
lays out considerations for procedural fairness in algorithmic decisions,
and a participatory framework called WeBuildAI that enables people to build
algorithms for their own communities. I present a case study of this
framework with a nonprofit called 412 Food Rescue in which stakeholders
used the framework to build a food donation matching algorithm and
adjudicate equity and efficiency trade-offs in the algorithm.

*Bio*:Min Kyung Lee is an assistant professor in the School of Information
at the University of Texas at Austin. Dr. Lee is a human-computer
interaction researcher, and has extensive experiences in developing
theories, methods and tools for human-centered AI and deploying them in
practice through collaboration with real-world stakeholders and
organizations. She proposed a participatory framework that empowers
community members to design matching algorithms that govern their own
communities. She also conducted one of the first studies investigating
public perceptions of algorithmic fairness and the impacts of algorithmic
management. Her current research is inspired by and complements her
previous work on social robots for long-term interaction, seamless
human-robot handovers, and telepresence robots. Dr. Lee is a Siebel Scholar
and has received the Allen Newell Award for Research Excellence, research
grants from NSF and Uptake, and five best paper awards and honorable
mentions and two demo/video awards in venues such as CHI, CSCW, DIS and
HRI. She is an associate editor of ACM Transactions on Human-Robot
Interaction. Her work has been featured in media outlets such as the New
York Times, New Scientist, Washington Post, MIT Technology Review and CBS.
Prior to UT Austin, she was a research scientist at Carnegie Mellon
University. She received a PhD and a MS in Human-Computer Interaction and
an MDes in Interaction Design from Carnegie Mellon University and a BS from
KAIST.
Website: http://minlee.net


-- 


Styliani Kleanthous, Ph.D

CyCAT - Cyprus Center for Algorithmic Transparency

Open University of Cyprus

Phone: 22411904

web: http://www.cycat.io

LinkedIn: https://www.linkedin.com/in/styliani-kleanthous/

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