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The Impact of Algorithmic Risk Assessments on Human Predictions and its
  Analysis via Crowdsourcing Studies

The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies

3 September 2021
Riccardo Fogliato
Alexandra Chouldechova
Zachary Chase Lipton
ArXivPDFHTML

Papers citing "The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies"

19 / 19 papers shown
Title
The Value of Information in Human-AI Decision-making
The Value of Information in Human-AI Decision-making
Ziyang Guo
Yifan Wu
Jason D. Hartline
Jessica Hullman
FAtt
54
0
0
10 Feb 2025
Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant
Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant
Gaole He
Gianluca Demartini
U. Gadiraju
LLMAG
65
6
0
03 Feb 2025
Unexploited Information Value in Human-AI Collaboration
Unexploited Information Value in Human-AI Collaboration
Ziyang Guo
Yifan Wu
Jason D. Hartline
Jessica Hullman
24
1
0
03 Nov 2024
Towards the New XAI: A Hypothesis-Driven Approach to Decision Support
  Using Evidence
Towards the New XAI: A Hypothesis-Driven Approach to Decision Support Using Evidence
Thao Le
Tim Miller
L. Sonenberg
Ronal Singh
18
3
0
02 Feb 2024
A Decision Theoretic Framework for Measuring AI Reliance
A Decision Theoretic Framework for Measuring AI Reliance
Ziyang Guo
Yifan Wu
Jason D. Hartline
Jessica Hullman
26
16
0
27 Jan 2024
Decision Theoretic Foundations for Experiments Evaluating Human
  Decisions
Decision Theoretic Foundations for Experiments Evaluating Human Decisions
Jessica Hullman
Alex Kale
Jason D. Hartline
21
2
0
25 Jan 2024
The State of Pilot Study Reporting in Crowdsourcing: A Reflection on
  Best Practices and Guidelines
The State of Pilot Study Reporting in Crowdsourcing: A Reflection on Best Practices and Guidelines
J. Oppenlaender
Tahir Abbas
U. Gadiraju
HAI
22
4
0
13 Dec 2023
Exploring User Perspectives on ChatGPT: Applications, Perceptions, and
  Implications for AI-Integrated Education
Exploring User Perspectives on ChatGPT: Applications, Perceptions, and Implications for AI-Integrated Education
Reza Hadi Mogavi
Chaohua Deng
Justin Juho Kim
Pengyuan Zhou
Young D. Kwon
...
Simone Bassanelli
A. Bucchiarone
Sujit Gujar
Lennart E. Nacke
Pan Hui
11
38
0
22 May 2023
Overcoming Algorithm Aversion: A Comparison between Process and Outcome
  Control
Overcoming Algorithm Aversion: A Comparison between Process and Outcome Control
Ling-chi Cheng
Alexandra Chouldechova
14
13
0
22 Mar 2023
Ground(less) Truth: A Causal Framework for Proxy Labels in
  Human-Algorithm Decision-Making
Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making
Luke M. Guerdan
Amanda Coston
Zhiwei Steven Wu
Kenneth Holstein
CML
17
26
0
13 Feb 2023
Knowing About Knowing: An Illusion of Human Competence Can Hinder
  Appropriate Reliance on AI Systems
Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems
Gaole He
L. Kuiper
U. Gadiraju
13
55
0
25 Jan 2023
Toward Supporting Perceptual Complementarity in Human-AI Collaboration
  via Reflection on Unobservables
Toward Supporting Perceptual Complementarity in Human-AI Collaboration via Reflection on Unobservables
Kenneth Holstein
Maria De-Arteaga
Lakshmi Tumati
Yanghuidi Cheng
12
22
0
28 Jul 2022
Homophily and Incentive Effects in Use of Algorithms
Homophily and Incentive Effects in Use of Algorithms
Riccardo Fogliato
S. Fazelpour
Shantanu Gupta
Zachary Chase Lipton
David Danks
9
0
0
19 May 2022
Who Goes First? Influences of Human-AI Workflow on Decision Making in
  Clinical Imaging
Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging
Riccardo Fogliato
Shreya Chappidi
M. Lungren
Michael Fitzke
Mark Parkinson
Diane U Wilson
Paul Fisher
Eric Horvitz
K. Inkpen
Besmira Nushi
10
68
0
19 May 2022
A Taxonomy of Human and ML Strengths in Decision-Making to Investigate
  Human-ML Complementarity
A Taxonomy of Human and ML Strengths in Decision-Making to Investigate Human-ML Complementarity
Charvi Rastogi
Liu Leqi
Kenneth Holstein
Hoda Heidari
19
9
0
22 Apr 2022
Do People Engage Cognitively with AI? Impact of AI Assistance on
  Incidental Learning
Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning
Krzysztof Z. Gajos
Lena Mamykina
6
95
0
11 Feb 2022
On the Fairness of Machine-Assisted Human Decisions
On the Fairness of Machine-Assisted Human Decisions
Talia B. Gillis
Bryce Mclaughlin
Jann Spiess
FaML
11
16
0
28 Oct 2021
A Human-Centered Review of the Algorithms used within the U.S. Child
  Welfare System
A Human-Centered Review of the Algorithms used within the U.S. Child Welfare System
Devansh Saxena
Karla A. Badillo-Urquiola
Pamela J. Wisniewski
Shion Guha
51
104
0
07 Mar 2020
Learning Certifiably Optimal Rule Lists for Categorical Data
Learning Certifiably Optimal Rule Lists for Categorical Data
E. Angelino
Nicholas Larus-Stone
Daniel Alabi
Margo Seltzer
Cynthia Rudin
46
196
0
06 Apr 2017
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