35 citations · 43 across the 4 of their papers we have counts for
4 papers · 1 filter
Training Data Governance for Brain Foundation Models
Margot Hanley, Jiunn-Tyng Yeh, Ryan Rodriguez +2
Brain foundation models bring the foundation model paradigm to the field of neuroscience. Like language and image foundation models, they are general-purpose AI systems pretrained…
Computer Vision and Conflicting Values: Describing People with Automated Alt Text
Margot Hanley, Solon Barocas, Karen Levy +2
Scholars have recently drawn attention to a range of controversial issues posed by the use of computer vision for automatically generating descriptions of people in images. Despite…
An Ethical Highlighter for People-Centric Dataset Creation
Margot Hanley, Apoorv Khandelwal, Hadar Averbuch-Elor +2
Important ethical concerns arising from computer vision datasets of people have been receiving significant attention, and a number of datasets have been withdrawn as a result. To m…
Fairness Issues in AI Systems that Augment Sensory Abilities
Leah Findlater, Steven Goodman, Yuhang Zhao +2
Systems that augment sensory abilities are increasingly employing AI and machine learning (ML) approaches, with applications ranging from object recognition and scene description t…