Title
Workshop on Understanding and Mitigating Cognitive Biases in Human-AI Collaboration
Author
Boonprakong, Nattapat (University of Melbourne)
He, G. (TU Delft Web Information Systems)
Gadiraju, Ujwal (TU Delft Web Information Systems)
Van Berkel, Niels (Aalborg University)
Wang, Danding (Chinese Academy of Sciences)
Chen, Si (University of Illinois at Urbana Champaign)
Liu, Jiqun (University of Oklahoma)
Tag, Benjamin (Monash University)
Goncalves, Jorge (University of Melbourne)
Dingler, Tilman (University of Melbourne)
Contributor
Ames, Morgan (editor)
Fussell, Susan (editor)
Gilbert, Eric (editor)
Liao, Vera (editor)
Ma, Xiaojuan (editor)
Page, Xinru (editor)
Rouncefield, Mark (editor)
Singh, Vivek (editor)
Wisniewski, Pamela (editor)
Date
2023
Abstract
AI systems are increasingly incorporated into human decision-making. Yet, human decision-makers are often affected by their cognitive biases. In critical settings, such as medical diagnosis, criminal judgment, or information consumption, these cognitive biases hinder optimal decision outcomes, thereby resulting in dangerous decisions and negative societal impact. The use of AI systems can amplify and exacerbate cognitive biases in their users. In this workshop, we seek to foster discussions on ongoing research around cognitive biases in human-AI collaboration and identify future research directions to understand, quantify, and mitigate the effects of cognitive biases. We will explore cognitive biases appearing in various contexts of human-AI collaboration: what can cause them?; how can we measure, model, mitigate, and manage cognitive biases?; and how can we utilise cognitive biases for the greater good? We will reflect on workshop discussions to form a research community around cognitive biases and bias-aware systems.
Subject
Cognitive Bias
Debiasing
Human-AI Collaboration
To reference this document use:
http://resolver.tudelft.nl/uuid:e530e4e5-8720-4d39-be12-c40466d374e0
DOI
https://doi.org/10.1145/3584931.3611284
Publisher
Association for Computing Machinery (ACM)
ISBN
9798400701290
Source
CSCW 2023 Companion - Conference Companion Publication of the 2023 Computer Supported Cooperative Work and Social Computing
Event
26th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2023, 2023-10-14 → 2023-10-18, Minneapolis, United States
Series
Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW
Part of collection
Institutional Repository
Document type
conference paper
Rights
© 2023 Nattapat Boonprakong, G. He, Ujwal Gadiraju, Niels Van Berkel, Danding Wang, Si Chen, Jiqun Liu, Benjamin Tag, Jorge Goncalves, Tilman Dingler