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What If I Don't Like Any Of The Choices? The Limits of Preference
  Elicitation for Participatory Algorithm Design

What If I Don't Like Any Of The Choices? The Limits of Preference Elicitation for Participatory Algorithm Design

13 July 2020
Samantha Robertson
Niloufar Salehi
ArXiv (abs)PDFHTML

Papers citing "What If I Don't Like Any Of The Choices? The Limits of Preference Elicitation for Participatory Algorithm Design"

23 / 23 papers shown
Title
Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent
  Circumvention
Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumvention
Cedric Deslandes Whitney
Justin Norman
82
24
0
03 May 2024
From Fitting Participation to Forging Relationships: The Art of
  Participatory ML
From Fitting Participation to Forging Relationships: The Art of Participatory ML
Ned Cooper
Alex Zafiroglu
67
10
0
11 Mar 2024
Beyond Predictive Algorithms in Child Welfare
Beyond Predictive Algorithms in Child Welfare
Erin Moon
Devansh Saxena
Tegan Maharaj
Shion Guha
75
2
0
26 Feb 2024
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant
  Vision-Language Applications for Radiology
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology
Nur Yildirim
Hannah Richardson
Maria T. A. Wetscherek
Junaid Bajwa
Joseph Jacob
...
Ozan Oktay
M. Lungren
Javier Alvarez-Valle
A. Nori
Anja Thieme
LM&MA
96
51
0
22 Feb 2024
Investigating Why Clinicians Deviate from Standards of Care: Liberating
  Patients from Mechanical Ventilation in the ICU
Investigating Why Clinicians Deviate from Standards of Care: Liberating Patients from Mechanical Ventilation in the ICU
Nur Yildirim
Susanna Zlotnikov
Aradhana Venkat
Gursimran Chawla
Jennifer Kim
L. Bukowski
Jeremy M. Kahn
James McCann
John Zimmerman
95
5
0
21 Feb 2024
Sketching AI Concepts with Capabilities and Examples: AI Innovation in
  the Intensive Care Unit
Sketching AI Concepts with Capabilities and Examples: AI Innovation in the Intensive Care Unit
Nur Yildirim
Susanna Zlotnikov
Deniz Sayar
Jeremy M. Kahn
L. Bukowski
...
Venkatesh Sivaraman
Adam Perer
Sarah Preum
James McCann
John Zimmerman
73
18
0
21 Feb 2024
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
Fernando Delgado
Stephen Yang
Michael A. Madaio
Qian Yang
131
122
0
02 Oct 2023
`It is currently hodgepodge'': Examining AI/ML Practitioners' Challenges
  during Co-production of Responsible AI Values
`It is currently hodgepodge'': Examining AI/ML Practitioners' Challenges during Co-production of Responsible AI Values
R. Varanasi
Nitesh Goyal
73
48
0
14 Jul 2023
Going public: the role of public participation approaches in commercial
  AI labs
Going public: the role of public participation approaches in commercial AI labs
Lara Groves
Aidan Peppin
A. Strait
Jenny Brennan
72
30
0
16 Jun 2023
Understanding Frontline Workers' and Unhoused Individuals' Perspectives
  on AI Used in Homeless Services
Understanding Frontline Workers' and Unhoused Individuals' Perspectives on AI Used in Homeless Services
Tzu-Sheng Kuo
Hong Shen
Jisoo Geum
N. Jones
Jason I. Hong
Haiyi Zhu
Kenneth Holstein
93
62
0
17 Mar 2023
Rethinking "Risk" in Algorithmic Systems Through A Computational
  Narrative Analysis of Casenotes in Child-Welfare
Rethinking "Risk" in Algorithmic Systems Through A Computational Narrative Analysis of Casenotes in Child-Welfare
Devansh Saxena
Erin Moon
Aryan Chaurasia
Yixin Guan
Shion Guha
72
26
0
16 Feb 2023
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
106
65
0
07 Oct 2022
Human-Centric Research for NLP: Towards a Definition and Guiding
  Questions
Human-Centric Research for NLP: Towards a Definition and Guiding Questions
Bhushan Kotnis
Kiril Gashteovski
J. Gastinger
G. Serra
Francesco Alesiani
T. Sztyler
Ammar Shaker
Na Gong
Carolin (Haas) Lawrence
Zhao Xu
74
9
0
10 Jul 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
91
57
0
18 May 2022
Perspectives on Incorporating Expert Feedback into Model Updates
Perspectives on Incorporating Expert Feedback into Model Updates
Valerie Chen
Umang Bhatt
Hoda Heidari
Adrian Weller
Ameet Talwalkar
94
12
0
13 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
FaMLSyDa
59
60
0
06 May 2022
Unpacking Invisible Work Practices, Constraints, and Latent Power
  Relationships in Child Welfare through Casenote Analysis
Unpacking Invisible Work Practices, Constraints, and Latent Power Relationships in Child Welfare through Casenote Analysis
Devansh Saxena
Erin Moon
Dahlia Shehata
Shion Guha
50
26
0
10 Mar 2022
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
106
56
0
01 Nov 2021
A Framework of High-Stakes Algorithmic Decision-Making for the Public
  Sector Developed through a Case Study of Child-Welfare
A Framework of High-Stakes Algorithmic Decision-Making for the Public Sector Developed through a Case Study of Child-Welfare
Devansh Saxena
Karla A. Badillo-Urquiola
Pamela J. Wisniewski
Shion Guha
96
90
0
07 Jul 2021
Beyond "Fairness:" Structural (In)justice Lenses on AI for Education
Beyond "Fairness:" Structural (In)justice Lenses on AI for Education
Michael A. Madaio
Su Lin Blodgett
Elijah Mayfield
Ezekiel Dixon-Román
41
30
0
18 May 2021
Soliciting Stakeholders' Fairness Notions in Child Maltreatment
  Predictive Systems
Soliciting Stakeholders' Fairness Notions in Child Maltreatment Predictive Systems
H. Cheng
Logan Stapleton
Ruiqi Wang
Paige E Bullock
Alexandra Chouldechova
Zhiwei Steven Wu
Haiyi Zhu
FaML
66
70
0
01 Feb 2021
Bridging Machine Learning and Mechanism Design towards Algorithmic
  Fairness
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness
Jessie Finocchiaro
R. Maio
F. Monachou
Gourab K. Patro
Manish Raghavan
Ana-Andreea Stoica
Stratis Tsirtsis
FaML
158
60
0
12 Oct 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
118
68
0
20 Feb 2020
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