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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 Practice

2 October 2023
Fernando Delgado
Stephen Yang
Michael A. Madaio
Qian Yang
ArXivPDFHTML

Papers citing "The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice"

9 / 9 papers shown
Title
AI Mismatches: Identifying Potential Algorithmic Harms Before AI Development
AI Mismatches: Identifying Potential Algorithmic Harms Before AI Development
Devansh Saxena
Ji-Youn Jung
J. Forlizzi
Kenneth Holstein
J. Zimmerman
48
0
0
25 Feb 2025
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation
The Cake that is Intelligence and Who Gets to Bake it: An AI Analogy and its Implications for Participation
Martin Mundt
Anaelia Ovalle
Felix Friedrich
A Pranav
Subarnaduti Paul
Manuel Brack
Kristian Kersting
William Agnew
168
0
0
05 Feb 2025
The Interaction Layer: An Exploration for Co-Designing User-LLM Interactions in Parental Wellbeing Support Systems
The Interaction Layer: An Exploration for Co-Designing User-LLM Interactions in Parental Wellbeing Support Systems
Sruthi Viswanathan
Seray Ibrahim
Ravi Shankar
Reuben Binns
Max Van Kleek
Petr Slovák
45
1
0
02 Nov 2024
Reconfiguring Participatory Design to Resist AI Realism
Reconfiguring Participatory Design to Resist AI Realism
Aakash Gautam
22
3
0
05 Jun 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
14
19
0
29 May 2024
"My lollipop dropped..."-Probing Design Opportunities for SEL Agents
  through Children's Peer Co-Creation of Social-Emotional Stories
"My lollipop dropped..."-Probing Design Opportunities for SEL Agents through Children's Peer Co-Creation of Social-Emotional Stories
Hanqing Zhou
Anastasia Nikolova
Pengcheng An
14
4
0
06 Mar 2024
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors,
  and Lessons Learned
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
Deep Ganguli
Liane Lovitt
John Kernion
Amanda Askell
Yuntao Bai
...
Nicholas Joseph
Sam McCandlish
C. Olah
Jared Kaplan
Jack Clark
213
327
0
23 Aug 2022
Explanation Strategies as an Empirical-Analytical Lens for
  Socio-Technical Contextualization of Machine Learning Interpretability
Explanation Strategies as an Empirical-Analytical Lens for Socio-Technical Contextualization of Machine Learning Interpretability
J. Benjamin
C. Kinkeldey
Claudia Muller-Birn
Tim Korjakow
Eva-Maria Herbst
53
7
0
24 Sep 2021
Designing AI for Trust and Collaboration in Time-Constrained Medical
  Decisions: A Sociotechnical Lens
Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens
Maia L. Jacobs
Jeffrey He
Melanie F. Pradier
Barbara D. Lam
Andrew C Ahn
T. McCoy
R. Perlis
Finale Doshi-Velez
Krzysztof Z. Gajos
37
143
0
01 Feb 2021
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