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

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

15 May 2020

Vinodkumar Prabhakaran

Jill A. Kuhlberg

William S. Isaac

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

15 / 15 papers shown

Title
Designing Fiduciary Artificial Intelligence Sebastian Benthall David Shekman 51 4 0 27 Jul 2023
Advancing Community Engaged Approaches to Identifying Structural Drivers of Racial Bias in Health Diagnostic Algorithms Jill A. Kuhlberg Irene E. Headen E. Ballard Donald Martin 40 6 0 22 May 2023
Manifestations of Xenophobia in AI Systems Nenad Tomašev J. L. Maynard Iason Gabriel 24 9 0 15 Dec 2022
Expansive Participatory AI: Supporting Dreaming within Inequitable Institutions Michael Alan Chang Shiran Dudy 29 0 0 22 Nov 2022
System Safety Engineering for Social and Ethical ML Risks: A Case Study Edgar W. Jatho L. Mailloux Shalaleh Rismani Eugene D. Williams Joshua A. Kroll 36 2 0 08 Nov 2022
A Human Rights-Based Approach to Responsible AI Vinodkumar Prabhakaran Margaret Mitchell Timnit Gebru Iason Gabriel 51 36 0 06 Oct 2022
Towards Responsible Natural Language Annotation for the Varieties of Arabic A. S. Bergman Mona T. Diab 27 18 0 17 Mar 2022
Qualitative Analysis for Human Centered AI Orestis Papakyriakopoulos E. A. Watkins Amy A. Winecoff Klaudia Ja'zwiñska Tithi Chattopadhyay 41 8 0 07 Dec 2021
Stakeholder Participation in AI: Beyond "Add Diverse Stakeholders and Stir" Fernando Delgado Stephen Yang Michael A. Madaio Qian Yang 28 55 0 01 Nov 2021
Envisioning Communities: A Participatory Approach Towards AI for Social Good Elizabeth Bondi-Kelly Lily Xu Diana Acosta-Navas J. Killian 27 81 0 04 May 2021
Re-imagining Algorithmic Fairness in India and Beyond Nithya Sambasivan Erin Arnesen Ben Hutchinson Tulsee Doshi Vinodkumar Prabhakaran FaML 17 174 0 25 Jan 2021
"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of Fairness Mckane Andrus Elena Spitzer Jeffrey Brown Alice Xiang 32 126 0 30 Oct 2020
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction Stephen R. Pfohl Agata Foryciarz N. Shah FaML 33 108 0 20 Jul 2020
Social Biases in NLP Models as Barriers for Persons with Disabilities Ben Hutchinson Vinodkumar Prabhakaran Emily L. Denton Kellie Webster Yu Zhong Stephen Denuyl 28 302 0 02 May 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016