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2109.01443
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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
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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
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
Gaole He
Gianluca Demartini
U. Gadiraju
LLMAG
65
6
0
03 Feb 2025
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
Thao Le
Tim Miller
L. Sonenberg
Ronal Singh
18
3
0
02 Feb 2024
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
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
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
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
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
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
Gaole He
L. Kuiper
U. Gadiraju
13
55
0
25 Jan 2023
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
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
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
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
Krzysztof Z. Gajos
Lena Mamykina
6
95
0
11 Feb 2022
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
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
E. Angelino
Nicholas Larus-Stone
Daniel Alabi
Margo Seltzer
Cynthia Rudin
46
196
0
06 Apr 2017
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