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Participation is not a Design Fix for Machine Learning

Participation is not a Design Fix for Machine Learning

5 July 2020
Mona Sloane
Emanuel Moss
O. Awomolo
Laura Forlano
    HAI
ArXivPDFHTML

Papers citing "Participation is not a Design Fix for Machine Learning"

27 / 27 papers shown
Title
Designing Speech Technologies for Australian Aboriginal English: Opportunities, Risks and Participation
Designing Speech Technologies for Australian Aboriginal English: Opportunities, Risks and Participation
Ben Hutchinson
Celeste Rodríguez Louro
Glenys Collard
Ned Cooper
57
0
0
05 Mar 2025
LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces
LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces
Rashid Mushkani
Shravan Nayak
Hugo Berard
Allison Cohen
Shin Koseki
Hadrien Bertrand
54
2
0
27 Feb 2025
Bringing AI Participation Down to Scale: A Comment on Open AIs Democratic Inputs to AI Project
Bringing AI Participation Down to Scale: A Comment on Open AIs Democratic Inputs to AI Project
David Moats
Chandrima Ganguly
VLM
38
0
0
16 Jul 2024
Participation in the age of foundation models
Participation in the age of foundation models
Harini Suresh
Emily Tseng
Meg Young
Mary L. Gray
Emma Pierson
Karen Levy
36
20
0
29 May 2024
Studying Up Public Sector AI: How Networks of Power Relations Shape
  Agency Decisions Around AI Design and Use
Studying Up Public Sector AI: How Networks of Power Relations Shape Agency Decisions Around AI Design and Use
Anna Kawakami
Amanda Coston
Hoda Heidari
Kenneth Holstein
Haiyi Zhu
44
8
0
21 May 2024
Data Feminism for AI
Data Feminism for AI
Lauren Klein
C. D’Ignazio
35
16
0
02 May 2024
Designing Fiduciary Artificial Intelligence
Designing Fiduciary Artificial Intelligence
Sebastian Benthall
David Shekman
45
3
0
27 Jul 2023
AI's Regimes of Representation: A Community-centered Study of
  Text-to-Image Models in South Asia
AI's Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia
Rida Qadri
Renee Shelby
Cynthia L. Bennett
Emily Denton
24
67
0
19 May 2023
A toolkit of dilemmas: Beyond debiasing and fairness formulas for
  responsible AI/ML
A toolkit of dilemmas: Beyond debiasing and fairness formulas for responsible AI/ML
Andrés Domínguez Hernández
Vassilis Galanos
16
4
0
03 Mar 2023
Designerly Understanding: Information Needs for Model Transparency to
  Support Design Ideation for AI-Powered User Experience
Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience
Q. V. Liao
Hariharan Subramonyam
Jennifer Wang
Jennifer Wortman Vaughan
HAI
22
58
0
21 Feb 2023
Tensions Between the Proxies of Human Values in AI
Tensions Between the Proxies of Human Values in AI
Teresa Datta
D. Nissani
Max Cembalest
Akash Khanna
Haley Massa
John P. Dickerson
28
2
0
14 Dec 2022
Expansive Participatory AI: Supporting Dreaming within Inequitable
  Institutions
Expansive Participatory AI: Supporting Dreaming within Inequitable Institutions
Michael Alan Chang
Shiran Dudy
15
0
0
22 Nov 2022
Participation Interfaces for Human-Centered AI
Participation Interfaces for Human-Centered AI
Sean McGregor
13
1
0
15 Nov 2022
Gathering Strength, Gathering Storms: The One Hundred Year Study on
  Artificial Intelligence (AI100) 2021 Study Panel Report
Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report
Michael L. Littman
Ifeoma Ajunwa
G. Berger
Craig Boutilier
Morgan E. Currie
...
Melanie Mitchell
J. Shah
S. Sloman
Shannon Vallor
T. Walsh
ELM
24
100
0
27 Oct 2022
Understanding Practices, Challenges, and Opportunities for User-Engaged
  Algorithm Auditing in Industry Practice
Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice
Wesley Hanwen Deng
B. Guo
Alicia DeVrio
Hong Shen
Motahhare Eslami
Kenneth Holstein
MLAU
17
58
0
07 Oct 2022
Improving alignment of dialogue agents via targeted human judgements
Improving alignment of dialogue agents via targeted human judgements
Amelia Glaese
Nat McAleese
Maja Trkebacz
John Aslanides
Vlad Firoiu
...
John F. J. Mellor
Demis Hassabis
Koray Kavukcuoglu
Lisa Anne Hendricks
G. Irving
ALM
AAML
227
500
0
28 Sep 2022
Imagining new futures beyond predictive systems in child welfare: A
  qualitative study with impacted stakeholders
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders
Logan Stapleton
Min Hun Lee
Diana Qing
Mary-Frances Wright
Alexandra Chouldechova
Kenneth Holstein
Zhiwei Steven Wu
Haiyi Zhu
38
55
0
18 May 2022
Rethinking Fairness: An Interdisciplinary Survey of Critiques of
  Hegemonic ML Fairness Approaches
Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches
Lindsay Weinberg
FaML
SyDa
24
58
0
06 May 2022
Accountability in an Algorithmic Society: Relationality, Responsibility,
  and Robustness in Machine Learning
Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning
A. Feder Cooper
Emanuel Moss
Benjamin Laufer
Helen Nissenbaum
MLAU
24
85
0
10 Feb 2022
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
33
8
0
07 Dec 2021
Addressing Privacy Threats from Machine Learning
Addressing Privacy Threats from Machine Learning
Mary Anne Smart
16
2
0
25 Oct 2021
Empowering Local Communities Using Artificial Intelligence
Empowering Local Communities Using Artificial Intelligence
Yen-Chia Hsu
Ting-Hao 'Kenneth' Huang
Himanshu Verma
A. Mauri
I. Nourbakhsh
A. Bozzon
31
32
0
05 Oct 2021
Design-Driven Requirements for Computationally Co-Creative Game AI
  Design Tools
Design-Driven Requirements for Computationally Co-Creative Game AI Design Tools
Nathan Partlan
Erica Kleinman
J. Howe
Sabbir Ahmad
Stacy Marsella
M. S. El-Nasr
16
14
0
29 Jul 2021
A Survey of Race, Racism, and Anti-Racism in NLP
A Survey of Race, Racism, and Anti-Racism in NLP
Anjalie Field
Su Lin Blodgett
Zeerak Talat
Yulia Tsvetkov
28
122
0
21 Jun 2021
Envisioning Communities: A Participatory Approach Towards AI for Social
  Good
Envisioning Communities: A Participatory Approach Towards AI for Social Good
Elizabeth Bondi-Kelly
Lily Xu
Diana Acosta-Navas
J. Killian
19
81
0
04 May 2021
Pitfalls in Machine Learning Research: Reexamining the Development Cycle
Pitfalls in Machine Learning Research: Reexamining the Development Cycle
Stella Biderman
Walter J. Scheirer
19
26
0
04 Nov 2020
The Problem with Metrics is a Fundamental Problem for AI
The Problem with Metrics is a Fundamental Problem for AI
Rachel L. Thomas
D. Uminsky
11
66
0
20 Feb 2020
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