Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

On Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making


Sep 23, 2022
Jakob Schoeffer, Maria De-Arteaga, Niklas Kuehl


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness


Aug 13, 2022
Vincent Jeanselme, Maria De-Arteaga, Zhe Zhang, Jessica Barrett, Brian Tom


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Toward Supporting Perceptual Complementarity in Human-AI Collaboration via Reflection on Unobservables


Jul 28, 2022
Kenneth Holstein, Maria De-Arteaga, Lakshmi Tumati, Yanghuidi Cheng


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Algorithmic Fairness in Business Analytics: Directions for Research and Practice


Jul 22, 2022
Maria De-Arteaga, Stefan Feuerriegel, Maytal Saar-Tsechansky


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

More Data Can Lead Us Astray: Active Data Acquisition in the Presence of Label Bias


Jul 15, 2022
Yunyi Li, Maria De-Arteaga, Maytal Saar-Tsechansky


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Doubting AI Predictions: Influence-Driven Second Opinion Recommendation


Apr 29, 2022
Maria De-Arteaga, Alexandra Chouldechova, Artur Dubrawski

* ACM CHI 2022 Workshop on Trust and Reliance in AI-Human Teams (TRAIT) 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms


Apr 29, 2022
Terrence Neumann, Maria De-Arteaga, Sina Fazelpour

* Accepted at ACM Conference on Fairness, Accountability, and Transparenct (FAccT), 2022 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

On the Relationship Between Explanations, Fairness Perceptions, and Decisions


Apr 29, 2022
Jakob Schoeffer, Maria De-Arteaga, Niklas Kuehl

* ACM CHI 2022 Workshop on Human-Centered Explainable AI (HCXAI), May 12--13, 2022, New Orleans, LA, USA 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Social Norm Bias: Residual Harms of Fairness-Aware Algorithms


Aug 29, 2021
Myra Cheng, Maria De-Arteaga, Lester Mackey, Adam Tauman Kalai

* Spotlighted at the 2021 ICML Machine Learning for Data Workshop and presented at the 2021 ICML Socially Responsible Machine Learning Workshop 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
>>