Michelle Lin
I am a MSc student at the University of Montreal & Mila - Quebec AI Institute.
Prior, I completed my Bachelors in Computer Science at McGill University, where I was also a Research Assistant under the supervision of Professor David Rolnick.
Currently, I apply deep learning methods combined to satellite imagery/geo-spatial data — a form of remote sensing in computer vision, and algorithmic bias in model design. I'm also concerned with topics of data governance and AI regulation.
I value interdisciplinary work and collaboration. My research interests also include ethics, algorithmic fairness and societal implications of socio-technical machine learning applications.
Publications
Evaluating the social impact of generative ai systems in systems and society
Irene Solaiman, Zeerak Talat, William Agnew, Lama Ahmad, Dylan Baker, Su Lin Blodgett, Canyu Chen, Hal Daumé III, Jesse Dodge, Isabella Duan, Ellie Evans, Felix Friedrich, Avijit Ghosh, Usman Gohar, Sara Hooker, Yacine Jernite, Ria Kalluri, Alberto Lusoli, Alina Leidinger, Michelle Lin, Xiuzhu Lin, Sasha Luccioni, Jennifer Mickel, Margaret Mitchell, Jessica Newman, Anaelia Ovalle, Marie-Therese Png, Shubham Singh, Andrew Strait, Lukas Struppek, Arjun Subramonian
Harms from Increasingly Agentic Algorithmic Systems Authors
Alan Chan, Rebecca Salganik, Alva Markelius, Chris Pang, Nitarshan Rajkumar, Dmitrii Krasheninnikov, Lauro Langosco, Zhonghao He, Yawen Duan, Micah Carroll, Michelle Lin, Alex Mayhew, Katherine Collins, Maryam Molamohammadi, John Burden, Wanru Zhao, Shalaleh Rismani, Konstantinos Voudouris, Uman Bhatt, Adrian Weller, David Krueger, Tegan Maharaj