Workshop on Understanding and Mitigating Cognitive Biases in Human-AI Collaboration

Boonprakong, Nattapat; He, Gaole; Gadiraju, Ujwal; van Berkel, Niels; Wang, Danding; Chen, Si; Liu, Jiqun; Tag, Benjamin; Goncalves, Jorge; Dingler, Tilman

by Boonprakong, Nattapat, He, Gaole, Gadiraju, Ujwal, van Berkel, Niels, Wang, Danding, Chen, Si, Liu, Jiqun, Tag, Benjamin, Goncalves, Jorge and Dingler, Tilman

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 unfair 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.

Reference:

N. Boonprakong, G. He, U. Gadiraju, N. van Berkel, D. Wang, S. Chen, J. Liu, B. Tag, J. Goncalves, T. Dingler, "Workshop on Understanding and Mitigating Cognitive Biases in Human-AI Collaboration", in Companion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing (CSCW'23 EA), 2023, to appear.

Bibtex Entry:

@inproceedings{Boonprakong2023WorkshopMitigatingCognitiveBiasHumanAI,
	title        = {Workshop on Understanding and Mitigating Cognitive Biases in Human-AI Collaboration},
	author       = {Boonprakong, Nattapat and He, Gaole and Gadiraju, Ujwal and van Berkel, Niels and Wang, Danding and Chen, Si and Liu, Jiqun and Tag, Benjamin and Goncalves, Jorge and Dingler, Tilman},
	year         = 2023,
	booktitle    = {Companion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing},
	location     = {CSCW'23 EA},
	howpublished = {Workshop},
	pages        = {to appear},
	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 unfair 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.},
	type         = {Conference Paper}
}