The Algorithmic Automation Problem: Prediction, Triage, and Human Effort

28 March 2019

Papers citing "The Algorithmic Automation Problem: Prediction, Triage, and Human Effort"

26 / 26 papers shown

Title
The Value of Information in Human-AI Decision-making Ziyang Guo Yifan Wu Jason D. Hartline Jessica Hullman FAtt 59 0 0 10 Feb 2025
HR-Bandit: Human-AI Collaborated Linear Recourse Bandit Junyu Cao Ruijiang Gao Esmaeil Keyvanshokooh 40 1 0 18 Oct 2024
A Causal Framework for Evaluating Deferring Systems Filippo Palomba Andrea Pugnana Jose M. Alvarez Salvatore Ruggieri CML 51 1 0 29 May 2024
To Ask or Not To Ask: Human-in-the-loop Contextual Bandits with Applications in Robot-Assisted Feeding Rohan Banerjee Rajat Kumar Jenamani Sidharth Vasudev Amal Nanavati Katherine Dimitropoulou Sarah Dean T. Bhattacharjee 68 2 0 11 May 2024
Learning To Guide Human Decision Makers With Vision-Language Models Debodeep Banerjee Stefano Teso Burcu Sayin Andrea Passerini 37 1 0 25 Mar 2024
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems Clara Punzi Roberto Pellungrini Mattia Setzu F. Giannotti D. Pedreschi 25 5 0 09 Feb 2024
AI Oversight and Human Mistakes: Evidence from Centre Court David Almog Romain Gauriot Lionel Page Daniel Martin 28 6 0 30 Jan 2024
A2C: A Modular Multi-stage Collaborative Decision Framework for Human-AI Teams Shahroz Tariq Mohan Baruwal Chhetri Surya Nepal Cécile Paris 40 6 0 25 Jan 2024
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention Anqi Mao M. Mohri Yutao Zhong 29 22 0 23 Oct 2023
Confounding-Robust Policy Improvement with Human-AI Teams Ruijiang Gao Mingzhang Yin 32 3 0 13 Oct 2023
When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making Kate Donahue Sreenivas Gollapudi Kostas Kollias 24 3 0 22 Aug 2023
In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making Raymond Fok Daniel S. Weld 24 61 0 12 May 2023
Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction Patrick Hemmer Monika Westphal Max Schemmer S. Vetter Michael Vossing G. Satzger 52 42 0 16 Mar 2023
Who Should Predict? Exact Algorithms For Learning to Defer to Humans Hussein Mozannar Hunter Lang Dennis L. Wei P. Sattigeri Subhro Das David Sontag 30 40 0 15 Jan 2023
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy Giang Nguyen Mohammad Reza Taesiri Anh Totti Nguyen 30 42 0 26 Jul 2022
Sample Efficient Learning of Predictors that Complement Humans Mohammad-Amin Charusaie Hussein Mozannar David Sontag Samira Samadi 41 31 0 19 Jul 2022
CARD: Classification and Regression Diffusion Models Xizewen Han Huangjie Zheng Mingyuan Zhou DiffM 49 109 0 15 Jun 2022
Calibrating for Class Weights by Modeling Machine Learning Andrew Caplin Daniel Martin Philip Marx 24 1 0 10 May 2022
Calibrated Learning to Defer with One-vs-All Classifiers Rajeev Verma Eric Nalisnick 21 42 0 08 Feb 2022
Teaching Humans When To Defer to a Classifier via Exemplars Hussein Mozannar Arvindmani Satyanarayan David Sontag 36 43 0 22 Nov 2021
On the Fairness of Machine-Assisted Human Decisions Talia B. Gillis Bryce Mclaughlin Jann Spiess FaML 29 16 0 28 Oct 2021
Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration Gavin Kerrigan Padhraic Smyth M. Steyvers 30 46 0 29 Sep 2021
Incorporating Uncertainty in Learning to Defer Algorithms for Safe Computer-Aided Diagnosis Jessie Liu B. Gallego S. Barbieri 18 14 0 17 Aug 2021
Differentiable Learning Under Triage Nastaran Okati A. De Manuel Gomez Rodriguez 26 63 0 16 Mar 2021
Regression Under Human Assistance A. De Nastaran Okati Paramita Koley Niloy Ganguly Manuel Gomez Rodriguez 21 62 0 06 Sep 2019
Learning Representations by Humans, for Humans Sophie Hilgard Nir Rosenfeld M. Banaji Jack Cao David C. Parkes OCL HAI AI4CE 31 29 0 29 May 2019