Anna Meyer
@annapmeyer.bsky.social
robust/fair/trustworthy ML @ UW Madison // minneapolis // she/her
If you’re at #chi25 come check out our talk at 2:10pm in G302! I’ll discuss how lay stakeholders think decisions should be made under model multiplicity, and how this differs from what ML/philosophy experts have previously recommended.
How do people feel when different “equally good” machine learning models disagree on whether an individual should get a loan or job?
Anna Meyer (co-advised with @awsto.bsky.social) answers this question in her CHI25 paper. Great collab with Yea-Seul Kim
arxiv.org/abs/2409.12332
Anna Meyer (co-advised with @awsto.bsky.social) answers this question in her CHI25 paper. Great collab with Yea-Seul Kim
arxiv.org/abs/2409.12332
Perceptions of the Fairness Impacts of Multiplicity in Machine Learning
Machine learning (ML) is increasingly used in high-stakes settings, yet multiplicity - the existence of multiple good models - means that some predictions are essentially arbitrary. ML researchers and...
arxiv.org
April 28, 2025 at 12:12 AM
If you’re at #chi25 come check out our talk at 2:10pm in G302! I’ll discuss how lay stakeholders think decisions should be made under model multiplicity, and how this differs from what ML/philosophy experts have previously recommended.
Enjoyed working on this project & am super excited to share it at #chi25 ! Thankful to Yea-Seul for the HCI mentorship and @lorisdanto.bsky.social & @awsto.bsky.social for supporting me in trying something different
How do people feel when different “equally good” machine learning models disagree on whether an individual should get a loan or job?
Anna Meyer (co-advised with @awsto.bsky.social) answers this question in her CHI25 paper. Great collab with Yea-Seul Kim
arxiv.org/abs/2409.12332
Anna Meyer (co-advised with @awsto.bsky.social) answers this question in her CHI25 paper. Great collab with Yea-Seul Kim
arxiv.org/abs/2409.12332
Perceptions of the Fairness Impacts of Multiplicity in Machine Learning
Machine learning (ML) is increasingly used in high-stakes settings, yet multiplicity - the existence of multiple good models - means that some predictions are essentially arbitrary. ML researchers and...
arxiv.org
January 29, 2025 at 2:13 AM
Enjoyed working on this project & am super excited to share it at #chi25 ! Thankful to Yea-Seul for the HCI mentorship and @lorisdanto.bsky.social & @awsto.bsky.social for supporting me in trying something different