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Effective Human-AI Teams via Learned Natural Language Rules and Onboarding

2 November 2023

Papers citing "Effective Human-AI Teams via Learned Natural Language Rules and Onboarding"

35 / 35 papers shown

Title
The Value of Information in Human-AI Decision-making Ziyang Guo Yifan Wu Jason D. Hartline Jessica Hullman FAtt 217 0 0 10 Feb 2025
Contrastive Explanations That Anticipate Human Misconceptions Can Improve Human Decision-Making Skills Zana Buçinca S. Swaroop Amanda E. Paluch Finale Doshi-Velez Krzysztof Z. Gajos 102 3 0 05 Oct 2024
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-Text Rationales Brihi Joshi Ziyi Liu Sahana Ramnath Aaron Chan Zhewei Tong Shaoliang Nie Qifan Wang Yejin Choi Xiang Ren HAI LRM 75 35 0 11 May 2023
Learning Personalized Decision Support Policies Umang Bhatt Valerie Chen Katherine M. Collins Parameswaran Kamalaruban Emma Kallina Adrian Weller Ameet Talwalkar OffRL 213 11 0 13 Apr 2023
Explanations Can Reduce Overreliance on AI Systems During Decision-Making Helena Vasconcelos Matthew Jörke Madeleine Grunde-McLaughlin Tobias Gerstenberg Michael S. Bernstein Ranjay Krishna 72 176 0 13 Dec 2022
Adaptive Testing of Computer Vision Models Irena Gao Gabriel Ilharco Scott M. Lundberg Marco Tulio Ribeiro VLM 73 43 0 06 Dec 2022
Measuring Progress on Scalable Oversight for Large Language Models Sam Bowman Jeeyoon Hyun Ethan Perez Edwin Chen Craig Pettit ... Tristan Hume Yuntao Bai Zac Hatfield-Dodds Benjamin Mann Jared Kaplan ALM ELM 81 132 0 04 Nov 2022
Scaling Instruction-Finetuned Language Models Hyung Won Chung Le Hou Shayne Longpre Barret Zoph Yi Tay ... Jacob Devlin Adam Roberts Denny Zhou Quoc V. Le Jason W. Wei ReLM LRM 238 3,165 0 20 Oct 2022
SEAL : Interactive Tool for Systematic Error Analysis and Labeling Nazneen Rajani Weixin Liang Lingjiao Chen Margaret Mitchell James Zou 96 16 0 11 Oct 2022
Sample Efficient Learning of Predictors that Complement Humans Mohammad-Amin Charusaie Hussein Mozannar David Sontag Samira Samadi 71 34 0 19 Jul 2022
GitHub Copilot AI pair programmer: Asset or Liability? Arghavan Moradi Dakhel Vahid Majdinasab Amin Nikanjam Foutse Khomh Michel C. Desmarais Zhen Ming Z. Jiang 95 358 0 30 Jun 2022
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra Aleksander Madry 97 90 0 29 Jun 2022
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation Vivian Lai Samuel Carton Rajat Bhatnagar Vera Liao Yunfeng Zhang Chenhao Tan 85 134 0 25 Apr 2022
Domino: Discovering Systematic Errors with Cross-Modal Embeddings Sabri Eyuboglu M. Varma Khaled Kamal Saab Jean-Benoit Delbrouck Christopher Lee-Messer Jared A. Dunnmon James Zou Christopher Ré 100 148 0 24 Mar 2022
Describing Differences between Text Distributions with Natural Language Ruiqi Zhong Charles Burton Snell Dan Klein Jacob Steinhardt VLM 189 44 0 28 Jan 2022
Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies Vivian Lai Chacha Chen Q. V. Liao Alison Smith-Renner Chenhao Tan 111 189 0 21 Dec 2021
Teaching Humans When To Defer to a Classifier via Exemplars Hussein Mozannar Arvindmani Satyanarayan David Sontag 82 43 0 22 Nov 2021
Auditing AI models for Verified Deployment under Semantic Specifications Homanga Bharadhwaj De-An Huang Chaowei Xiao Anima Anandkumar Animesh Garg MLAU 86 6 0 25 Sep 2021
Wordcraft: a Human-AI Collaborative Editor for Story Writing Andy Coenen Luke Davis Daphne Ippolito Emily Reif Ann Yuan LLMAG 110 73 0 15 Jul 2021
The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models G. dÉon Jason dÉon J. R. Wright Kevin Leyton-Brown 79 75 0 01 Jul 2021
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs Harini Suresh Kathleen M. Lewis John Guttag Arvind Satyanarayan FAtt 88 26 0 17 Feb 2021
Human Evaluation of Spoken vs. Visual Explanations for Open-Domain QA Ana Valeria González Gagan Bansal Angela Fan Robin Jia Yashar Mehdad Srini Iyer AAML 85 24 0 30 Dec 2020
TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification Francesco Barbieri Jose Camacho-Collados Leonardo Neves Luis Espinosa-Anke VLM 93 728 0 23 Oct 2020
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance Gagan Bansal Tongshuang Wu Joyce Zhou Raymond Fok Besmira Nushi Ece Kamar Marco Tulio Ribeiro Daniel S. Weld 104 602 0 26 Jun 2020
Consistent Estimators for Learning to Defer to an Expert Hussein Mozannar David Sontag 71 205 0 02 Jun 2020
Misplaced Trust: Measuring the Interference of Machine Learning in Human Decision-Making Harini Suresh Natalie Lao Ilaria Liccardi 36 49 0 22 May 2020
Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? Peter Hase Joey Tianyi Zhou FAtt 79 304 0 04 May 2020
"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans Vivian Lai Han Liu Chenhao Tan 84 143 0 14 Jan 2020
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.3K 12,332 0 27 Aug 2019
The Algorithmic Automation Problem: Prediction, Triage, and Human Effort M. Raghu Katy Blumer G. Corrado Jon M. Kleinberg Ziad Obermeyer S. Mullainathan 174 140 0 28 Mar 2019
On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection Vivian Lai Chenhao Tan 78 380 0 19 Nov 2018
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning Feng Yu Haofeng Chen Xin Wang Wenqi Xian Yingying Chen Fangchen Liu Vashisht Madhavan Trevor Darrell VLM 348 2,164 0 12 May 2018
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer David Madras T. Pitassi R. Zemel FaML 180 221 0 17 Nov 2017
End-to-end Learning of Driving Models from Large-scale Video Datasets Huazhe Xu Yang Gao Feng Yu Trevor Darrell 163 827 0 04 Dec 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,092 0 16 Feb 2016