activity
20192026
most citedComputer Vision and Conflicting Values: Describing People with Automated Alt Text

35 citations · 43 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CY2026

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…

cs.HC2021

Understanding the Use of Voice Assistants by Older Adults

Margot Hanley, Shiri Azenkot

Older adults are using voice-based technologies in a variety of different contexts and are uniquely positioned to benefit from smart speakers' handsfree, voice-based interface. In…

cs.CY2021★ 35 cited

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…

cs.CY2020★ 8 cited

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from computer vision datasets of people have been receiving significant attention, and a number of datasets have been withdrawn as a result.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…

cs.CY2019

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…