Abstract:
What is Human-Centered Machine Learning (HCML) and what does ethics look like in that space? How can we ethically conduct research in sensitive spaces or on sensitive topics, such as mental health? How can we empower people whose data is used for research? Learn about this and more in the next In Conversation With PERVADE event at University of Maryland College of Information Studies.
Speakers:
Dr. Stevie Chancellor is an Assistant Professor in the Department of Computer Science & Engineering at the University of Minnesota. Her research combines approaches from human-computer interaction and machine learning to build and critically evaluate human-centered systems. She studies dangerous mental health behaviors on social media, like suicidality, self-injury, and eating disorders, as well as the implications of doing machine learning research on these communities. Her work has been featured in The Atlantic, Wired, Smithsonian Magazine, and Gizmodo. Dr. Chancellor recently received her doctorate in Human-Centered Computing from Georgia Tech.
Dr. Sarah Gilbert (she/her/hers) is a postdoctoral associate Cornell University and Research Manager of the Citizens and Technology Lab. Her work focuses on understanding and designing healthy online communities, studying topics like what influences participation, how people learn in online communities, how volunteer moderators’ labor impacts community governance, and how research in those areas can be done ethically. Prior to joining Cornell, she was a postdoctoral associate at the University of Maryland, College Park and earned her doctorate in Library and Information Studies from the University of British Columbia. Her work has been published in ACM CSCW (PACM-HCI), Social Media + Society, New Media & Society; and Information, Communication & Society, and has been featured in The Atlantic.
