Meric Altug Gemalmaz
Graduate Research Assistant
Joined department: Spring 2019
Altug is a fourth-year PhD student in the field of human-computer interaction and machine learning, advised by Assistant Professor Ming Yin. His research centers on leveraging crowd wisdom to enhance machine intelligence (i.e., crowdsourcing and social computing), with a particular focus on addressing issues of fairness and bias in AI.
Specifically, he is interested in exploring different approaches to understand how bias impacts people's perceptions of fairness in AI-based decision systems, including investigating the impact of biased data on user engagement with the technology.
Through his research, Altug aims to contribute to the development of more equitable and socially responsible AI systems. He seeks to first understand the nature of bias in AI systems and then identify effective ways to address them.
Accounting for Confirmation Bias in Crowdsourced Label Aggregation
Meric Altug Gemalmaz and Ming Yin.
The 30th International Joint Conference on Artificial Intelligence (IJCAI), Online, August 2021.
Understanding Decision Subjects' Fairness Perceptions and Retention in Repeated Interactions with AI-Based Decision Systems
Meric Altug Gemalmaz and Ming Yin
The 5th AAAI/ACM Conference on AI, Ethics, and Society (AIES), Oxford, UK, August 2022.