10 citations · 19 across the 4 of their papers we have counts for
4 papers
Context and Symmetry in Auditing: A Case Study of Skeleton Inference in Motion Capture
Emma Harvey, Emanuel Moss, Hauke Sandhaus +2
Humans are increasingly expected to interact with AI systems that observe and make inferences about them - but do these systems actually work? A standard approach to answering this…
Context Collapse: Barriers to Adoption for Generative AI in Workplace Settings
Emanuel Moss, Elizabeth Watkins, Christopher Persaud +3
As generative AI technologies are pressed into service in workplace settings, current approaches to account for the contexts in which such technologies are used fall short of users…
Materiality and Risk in the Age of Pervasive AI Sensors
Mona Sloane, Emanuel Moss, Susan Kennedy +4
Artificial intelligence (AI) systems connected to sensor-laden devices are becoming pervasive, which has notable implications for a range of AI risks, including to privacy, the env…
The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology
Emma Harvey, Hauke Sandhaus, Abigail Z. Jacobs +2
Motion capture systems, used across various domains, make body representations concrete through technical processes. We argue that the measurement of bodies and the validation of m…