Fair & Responsible AI Workshop @ CHI2020

Position Papers


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On the Nature of Bias Percolation: Assessing Multiaxial Collaboration in Human-AI Systems


Andi Peng, Besmira Nushi, Kori Inkpen, Emre Kiciman, Ece Kamar



Designing for Digital Agency: Equity Perspectives and AI in K-12 Education


Ariam Mogos, Laura McBain, Carissa Carter, Megan Stariha, Lisa Kay Solomon



Measuring Social Biases of Crowd Workers using Counterfactual Queries


Bhavya Ghai, Q. Vera Liao, Yunfeng Zhang, Klaus Mueller



Getting Fairness Right: Towards a Toolbox for Practitioners


Boris Ruf, Chaouki Boutharouite, Marcin Detyniecki



A Call for Universities to Develop Requirements for Community Engagement in AI Research


Emily Black, Joshua Williams, Michael Madaio, Priya Donti



Learning to Diversify from Human Judgments: Research Directions and Open Challenges


Emily Denton, Hansa Srinivasan, Dylan Baker, Jilin Chen, Alex Beutel, Tulsee Doshi, Ed H. Chi



A Human in the Loop is Not Enough: The Need for Human-Subject Experiments in Facial Recognition


Forough Poursabzi-Sangdeh, Samira Samadi, Jennifer Wortman Vaughan, Hanna Wallach



Responsible AI and Its Stakeholders


Gabriel Lima, Meeyoung Cha



Fair and Responsible AI: A Focus on the Ability to Contest


Henrietta Lyons, Eduardo Velloso, Tim Miller



Your AI Boss Says, "You are Fired, but Your Colleague Got Promoted!"


Hyanghee Park, Daehwan Ahn, Kartik Hosanagar, Joonhwan Lee



Exploring User Opinions of Fairness in Recommender Systems


Jessie Smith, Nasim Sonboli, Casey Fiesler, Robin Burke



Evidence-based Explanation to Promote Fairness in AI Systems


Juliana Jansen Ferreira, Mateus de Souza Monteiro



Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics


Donald Martin Jr., Vinodkumar Prabhakaran, Jill Kuhlberg, Andrew Smart, William S. Issac



Need for Organizational Performance Metrics to Support Fairness in AI


Michael A. Madaio, Luke Stark, Jennifer Wortman Vaughan, Hanna Wallach



What Do Users Want in an Explanation?: User Preferences for AI Explainability in Context-Aware Systems


Morteza Behrooz, Julia Haines, Marco Zamarato, Paige Pritchard, Andrew Smart



Lessons from the Deployment of an Algorithmic Tool in Child Welfare


Riccardo Fogliato, Maria De-Arteaga, Alexandra Chouldechova



Trust Evolution Over Time in Explainable AI for Fake News Detection


Sina Mohseni, Fan Yang, Shiva Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric Ragan



Harnessing Explanations to Bridge AI and Humans


Vivian Lai, Samuel Carton, Chenhao Tan



AI-Mediated Exchange Theory


Xiao Ma, Taylor W. Brown