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Participatory Problem Formulation for Fairer Machine Learning Through
  Community Based System Dynamics
v1v2v3 (latest)

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

15 May 2020
Donald Martin
Vinodkumar Prabhakaran
Jill A. Kuhlberg
A. Smart
William S. Isaac
    FaML
ArXiv (abs)PDFHTML

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

35 / 35 papers shown
Who Leads? Comparing Human-Centric and Model-Centric Strategies for Defining ML Target Variables
Who Leads? Comparing Human-Centric and Model-Centric Strategies for Defining ML Target Variables
Mengtian Guo
David Gotz
Yue Wang
174
0
0
29 Oct 2025
What Makes An Expert? Reviewing How ML Researchers Define "Expert"
What Makes An Expert? Reviewing How ML Researchers Define "Expert"AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2024
Mark Díaz
Angela D. R. Smith
379
9
0
31 Oct 2024
Beyond Model Interpretability: Socio-Structural Explanations in Machine
  Learning
Beyond Model Interpretability: Socio-Structural Explanations in Machine LearningAi & Society (AS), 2024
Andrew Smart
Atoosa Kasirzadeh
319
10
0
05 Sep 2024
FairTargetSim: An Interactive Simulator for Understanding and Explaining the Fairness Effects of Target Variable Definition
FairTargetSim: An Interactive Simulator for Understanding and Explaining the Fairness Effects of Target Variable DefinitionInternational Joint Conference on Artificial Intelligence (IJCAI), 2024
Dalia Gala
Milo Phillips-Brown
Naman Goel
Carinal Prunkl
L. A. Jubete
Medb Corcoran
Ray Eitel-Porter
313
1
0
09 Mar 2024
Exploring AI Problem Formulation with Children via Teachable Machines
Exploring AI Problem Formulation with Children via Teachable Machines
Utkarsh Dwivedi
Salma Elsayed-Ali
Elizabeth M. Bonsignore
Hernisa Kacorri
188
11
0
28 Feb 2024
The Past, Present and Better Future of Feedback Learning in Large
  Language Models for Subjective Human Preferences and Values
The Past, Present and Better Future of Feedback Learning in Large Language Models for Subjective Human Preferences and ValuesConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Hannah Rose Kirk
Andrew M. Bean
Bertie Vidgen
Paul Röttger
Scott A. Hale
ALM
427
67
0
11 Oct 2023
The Participatory Turn in AI Design: Theoretical Foundations and the
  Current State of Practice
The Participatory Turn in AI Design: Theoretical Foundations and the Current State of PracticeConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Fernando Delgado
Stephen Yang
Michael A. Madaio
Qian Yang
422
216
0
02 Oct 2023
Examining the Values Reflected by Children during AI Problem Formulation
Examining the Values Reflected by Children during AI Problem Formulation
Martin Nicolas Everaert
Salma Elsayed-Ali
Elizabeth M. Bonsignore
R. Achanta
139
1
0
27 Sep 2023
Designing Fiduciary Artificial Intelligence
Designing Fiduciary Artificial IntelligenceConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Sebastian Benthall
David Shekman
250
9
0
27 Jul 2023
Beyond the ML Model: Applying Safety Engineering Frameworks to
  Text-to-Image Development
Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image DevelopmentAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023
Shalaleh Rismani
Renee Shelby
A. Smart
Renelito Delos Santos
AJung Moon
Negar Rostamzadeh
327
13
0
19 Jul 2023
Multi-Target Multiplicity: Flexibility and Fairness in Target
  Specification under Resource Constraints
Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource ConstraintsConference on Fairness, Accountability and Transparency (FAccT), 2023
J. Watson-Daniels
Solon Barocas
Jake M. Hofman
Alexandra Chouldechova
221
19
0
23 Jun 2023
Going public: the role of public participation approaches in commercial
  AI labs
Going public: the role of public participation approaches in commercial AI labsConference on Fairness, Accountability and Transparency (FAccT), 2023
Lara Groves
Aidan Peppin
A. Strait
Jenny Brennan
249
35
0
16 Jun 2023
Advancing Community Engaged Approaches to Identifying Structural Drivers
  of Racial Bias in Health Diagnostic Algorithms
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
115
12
0
22 May 2023
Fairness: from the ethical principle to the practice of Machine Learning
  development as an ongoing agreement with stakeholders
Fairness: from the ethical principle to the practice of Machine Learning development as an ongoing agreement with stakeholdersSocial Science Research Network (SSRN), 2023
Georgina Curto
F. Comim
FaML
155
2
0
22 Mar 2023
The Equitable AI Research Roundtable (EARR): Towards Community-Based
  Decision Making in Responsible AI Development
The Equitable AI Research Roundtable (EARR): Towards Community-Based Decision Making in Responsible AI Development
Jamila Smith-Loud
A. Smart
Darlene Neal
Amber Ebinama
E. Corbett
...
Emnet Almedom
O. Araiza
Elizabeth McCullough
A. Langston
Christopher J. Nellum
223
8
0
14 Mar 2023
Concrete Safety for ML Problems: System Safety for ML Development and
  Assessment
Concrete Safety for ML Problems: System Safety for ML Development and Assessment
Edgar W. Jatho
L. Mailloux
Eugene D. Williams
P. McClure
Joshua A. Kroll
180
1
0
06 Feb 2023
Fairness and Sequential Decision Making: Limits, Lessons, and
  Opportunities
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities
Samer B. Nashed
Justin Svegliato
Su Lin Blodgett
FaML
363
7
0
13 Jan 2023
Manifestations of Xenophobia in AI Systems
Manifestations of Xenophobia in AI SystemsAi & Society (AS), 2022
Nenad Tomašev
J. L. Maynard
Iason Gabriel
449
11
0
15 Dec 2022
Expansive Participatory AI: Supporting Dreaming within Inequitable
  Institutions
Expansive Participatory AI: Supporting Dreaming within Inequitable Institutions
Michael Alan Chang
Shiran Dudy
219
0
0
22 Nov 2022
System Safety Engineering for Social and Ethical ML Risks: A Case Study
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
284
2
0
08 Nov 2022
A Human Rights-Based Approach to Responsible AI
A Human Rights-Based Approach to Responsible AI
Vinodkumar Prabhakaran
Margaret Mitchell
Timnit Gebru
Iason Gabriel
277
49
0
06 Oct 2022
From plane crashes to algorithmic harm: applicability of safety
  engineering frameworks for responsible ML
From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible MLInternational Conference on Human Factors in Computing Systems (CHI), 2022
Shalaleh Rismani
Renee Shelby
A. Smart
Edgar W. Jatho
Joshua A. Kroll
AJung Moon
Negar Rostamzadeh
300
50
0
06 Oct 2022
A Validity Perspective on Evaluating the Justified Use of Data-driven
  Decision-making Algorithms
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms
Amanda Coston
Anna Kawakami
Haiyi Zhu
Kenneth Holstein
Hoda Heidari
222
49
0
30 Jun 2022
Towards Responsible Natural Language Annotation for the Varieties of
  Arabic
Towards Responsible Natural Language Annotation for the Varieties of ArabicFindings (Findings), 2022
A. S. Bergman
Mona T. Diab
230
24
0
17 Mar 2022
Healthsheet: Development of a Transparency Artifact for Health Datasets
Healthsheet: Development of a Transparency Artifact for Health DatasetsConference on Fairness, Accountability and Transparency (FAccT), 2022
Negar Rostamzadeh
Diana Mincu
Subhrajit Roy
A. Smart
Lauren Wilcox
Mahima Pushkarna
Jessica Schrouff
Razvan Amironesei
Nyalleng Moorosi
Katherine A. Heller
312
84
0
26 Feb 2022
Ethical and social risks of harm from Language Models
Ethical and social risks of harm from Language Models
Laura Weidinger
John F. J. Mellor
Maribeth Rauh
Conor Griffin
J. Uesato
...
Lisa Anne Hendricks
William S. Isaac
Sean Legassick
G. Irving
Iason Gabriel
PILM
719
1,423
0
08 Dec 2021
Qualitative Analysis for Human Centered AI
Qualitative Analysis for Human Centered AI
Orestis Papakyriakopoulos
E. A. Watkins
Amy A. Winecoff
Klaudia Ja'zwiñska
Tithi Chattopadhyay
270
9
0
07 Dec 2021
Stakeholder Participation in AI: Beyond "Add Diverse Stakeholders and
  Stir"
Stakeholder Participation in AI: Beyond "Add Diverse Stakeholders and Stir"
Fernando Delgado
Stephen Yang
Michael A. Madaio
Qian Yang
326
67
0
01 Nov 2021
Envisioning Communities: A Participatory Approach Towards AI for Social
  Good
Envisioning Communities: A Participatory Approach Towards AI for Social GoodAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021
Elizabeth Bondi-Kelly
Lily Xu
Diana Acosta-Navas
J. Killian
334
117
0
04 May 2021
Fairness for Unobserved Characteristics: Insights from Technological
  Impacts on Queer Communities
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer CommunitiesAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021
Nenad Tomašev
Kevin R. McKee
Jackie Kay
Shakir Mohamed
FaML
310
107
0
03 Feb 2021
Re-imagining Algorithmic Fairness in India and Beyond
Re-imagining Algorithmic Fairness in India and BeyondConference on Fairness, Accountability and Transparency (FAccT), 2021
Nithya Sambasivan
Erin Arnesen
Ben Hutchinson
Tulsee Doshi
Vinodkumar Prabhakaran
FaML
320
233
0
25 Jan 2021
"What We Can't Measure, We Can't Understand": Challenges to Demographic
  Data Procurement in the Pursuit of Fairness
"What We Can't Measure, We Can't Understand": Challenges to Demographic Data Procurement in the Pursuit of FairnessConference on Fairness, Accountability and Transparency (FAccT), 2020
Mckane Andrus
Elena Spitzer
Jeffrey Brown
Alice Xiang
387
148
0
30 Oct 2020
An Empirical Characterization of Fair Machine Learning For Clinical Risk
  Prediction
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction
Stephen Pfohl
Agata Foryciarz
N. Shah
FaML
493
145
0
20 Jul 2020
Participation is not a Design Fix for Machine Learning
Participation is not a Design Fix for Machine Learning
Mona Sloane
Emanuel Moss
O. Awomolo
Laura Forlano
HAI
503
314
0
05 Jul 2020
Social Biases in NLP Models as Barriers for Persons with Disabilities
Social Biases in NLP Models as Barriers for Persons with DisabilitiesAnnual Meeting of the Association for Computational Linguistics (ACL), 2020
Ben Hutchinson
Vinodkumar Prabhakaran
Emily L. Denton
Kellie Webster
Yu Zhong
Stephen Denuyl
353
365
0
02 May 2020
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