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Illuminating the Unseen: Investigating the Context-induced Harms in
  Behavioral Sensing

Illuminating the Unseen: Investigating the Context-induced Harms in Behavioral Sensing

23 April 2024
Han Zhang
V. D. Swain
Leijie Wang
Nan Gao
Yilun Sheng
Xuhai Xu
Flora D. Salim
Koustuv Saha
A. Dey
Jennifer Mankoff
ArXivPDFHTML

Papers citing "Illuminating the Unseen: Investigating the Context-induced Harms in Behavioral Sensing"

5 / 5 papers shown
Title
Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?
Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?
Shreyans Chowdhary
Anna Kawakami
Mary L. Gray
J. Suh
Alexandra Olteanu
Koustuv Saha
31
30
0
13 Mar 2023
Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI
  Interactions
Do Humans Trust Advice More if it Comes from AI? An Analysis of Human-AI Interactions
Kailas Vodrahalli
Roxana Daneshjou
Tobias Gerstenberg
James Y. Zou
31
68
0
14 Jul 2021
The Future of Digital Health with Federated Learning
The Future of Digital Health with Federated Learning
Nicola Rieke
Jonny Hancox
Wenqi Li
Fausto Milletari
H. Roth
...
Ronald M. Summers
Andrew Trask
Daguang Xu
Maximilian Baust
M. Jorge Cardoso
OOD
174
1,690
0
18 Mar 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
286
4,143
0
23 Aug 2019
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,658
0
28 Feb 2017
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