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Toward Supporting Perceptual Complementarity in Human-AI Collaboration
  via Reflection on Unobservables

Toward Supporting Perceptual Complementarity in Human-AI Collaboration via Reflection on Unobservables

28 July 2022
Kenneth Holstein
Maria De-Arteaga
Lakshmi Tumati
Yanghuidi Cheng
ArXivPDFHTML

Papers citing "Toward Supporting Perceptual Complementarity in Human-AI Collaboration via Reflection on Unobservables"

7 / 7 papers shown
Title
Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest
Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest
Jakob Schoeffer
Maria De-Arteaga
Jonathan Elmer
77
0
0
05 Apr 2025
Interactive Example-based Explanations to Improve Health Professionals'
  Onboarding with AI for Human-AI Collaborative Decision Making
Interactive Example-based Explanations to Improve Health Professionals' Onboarding with AI for Human-AI Collaborative Decision Making
Min Hun Lee
Renee Bao Xuan Ng
Silvana Xin Yi Choo
S. Thilarajah
26
0
0
24 Sep 2024
"I Want It That Way": Enabling Interactive Decision Support Using Large
  Language Models and Constraint Programming
"I Want It That Way": Enabling Interactive Decision Support Using Large Language Models and Constraint Programming
Connor Lawless
Jakob Schoeffer
Lindy Le
Kael Rowan
Shilad Sen
Cristina St. Hill
Jina Suh
Bahar Sarrafzadeh
33
8
0
12 Dec 2023
Confounding-Robust Policy Improvement with Human-AI Teams
Confounding-Robust Policy Improvement with Human-AI Teams
Ruijiang Gao
Mingzhang Yin
24
3
0
13 Oct 2023
Human-AI Collaboration with Bandit Feedback
Human-AI Collaboration with Bandit Feedback
Ruijiang Gao
M. Saar-Tsechansky
Maria De-Arteaga
Ligong Han
Min Kyung Lee
Matthew Lease
40
49
0
22 May 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
54
106
0
07 Mar 2020
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
243
891
0
11 Nov 2017
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