Advancing Fairness in Machine Learning Workshop
Thursday, April 10, 2025
Kansas Memorial Union
Devine Nine Room (6th Floor)
CCSD will host an in-person workshop for a deep-dive into Advancing Fairness in Machine Learning. In line with its mission of studying the blend of social infrastructure with evolving digital technologies, the event seeks to explore rapidly growing algorithmic systems from technical, social, legal, and philosophical perspectives.
The goal for this workshop is to foster a multidisciplinary platform aimed at fostering dialogue between researchers, practitioners, and policymakers. This workshop seeks to explore fairness in machine learning (ML) from technical, social, legal, and philosophical perspectives, encouraging innovative and practical approaches to addressing bias and inequality in algorithmic systems.
Schedule
8:30AM-9:00AM: Welcome & Introduction - John Symons
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9:00AM-9:45AM: Kristina Šekrst - University of Zagreb, Croatia - Ethical Guardrails for AI: A Framework for Fairness and “Make Your Own Ethics”
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9:45AM-10:30AM: Cyriacus O. Emedolu - Madonna University, Nigeria - The Philosophical Foundation of Fairness in Machine Learning: An African Perspective
10:30AM-10:45AM: Break
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10:45AM-11:30AM: Nathanael V. Navarro - Philippines of the Global Compassion Coalition - Why Informed Consent Forms Alone Cannot Protect Us from False Information
List
11:30AM-12:30PM: Lunch
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12:30PM-1:15PM: Nesim Aslantatar, PhD - Indiana University - Managing Uncertainty in Artificial Intelligence: A Philosophical Perspective
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1:15PM-2:00PM: Jack Leonard - University of Kansas - Social Media Recommender System: A Kantian’s Nightmare
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2:00PM-2:45PM: Etaoghene Paul Polo, PhD - University of Delta, Agbor, Delta State, Nigeria - Interrogating Algorithmic Fairness: A Philosophical Exploration of Justice and Bias in Machine Learning
2:45PM-3:00PM: Break
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3:00PM-3:45PM: James Garrison - University of Massachusetts Lowell - Human Visibility, Vulnerability, and Diversity Amidst Proxy Discrimination in the Data Age