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Fairness, Bias, and Research Governance / Fairness Perception, Resource Allocation, and Interaction Presentation

Pretrained text models may contain social bias, leading to injustice in downstream applications.

lightbulbPractical problemFairness Perception, Resource Allocation, and Interaction Presentation

Pretrained text models may contain social bias, leading to injustice in downstream applications.

CHI '24STILE: Exploring and Debugging Social Biases in Pre-trained Text Representations

Similar questions

lightbulbPractical problemFairness Perception, Resource Allocation, and Interaction Presentation

Automated decision systems involve risk in sensitive scenarios, and their fairness is difficult for users to trust.

IUI '24Do Crowdsourced Fairness Preferences Correlate with Risk Perceptions?

lightbulbPractical problemFairness Perception, Resource Allocation, and Interaction Presentation

AI systems may amplify bias in tasks, leading to unfair allocations, such as gender discrimination in occupational prediction.

CHI '24Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making

lightbulbPractical problemFairness Perception, Resource Allocation, and Interaction Presentation

Consumers feel algorithmic pricing and price discrimination are unfair, affecting purchase satisfaction and brand trust.

CHI '24I lose vs. I earn: Consumer perceived price fairness toward algorithmic (vs. human) price discrimination

lightbulbPractical problemFairness Perception, Resource Allocation, and Interaction Presentation

Low-performing users' engagement is easily overlooked in social exergames, creating unfair experiences.

IUI '23Improving Fairness in Adaptive Social Exergames via Shapley Bandits

lightbulbPractical problemFairness Perception, Resource Allocation, and Interaction Presentation

Existing data dashboards may deviate from real needs of social equity.

CSCW '23The Opportunity Cost: Using a Narrative Approach to Reframe Pro-equity Urban Informatics

lightbulbPractical problemFairness Perception, Resource Allocation, and Interaction Presentation

Players develop negative emotions from punishment, affecting game experience and community atmosphere.

CHI '23Transparency, Fairness, and Coping: How Players Experience Moderation in Multiplayer Online Games

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Do Crowdsourced Fairness Preferences Correlate with Risk Perceptions?

Chowdhury Mohammad Rakin Haider, Christopher Clifton, Ming Yin

Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making

Jakob Schoeffer, Maria De-Arteaga, Niklas Kühl

STILE: Exploring and Debugging Social Biases in Pre-trained Text Representations

Samia Kabir, Lixiang Li, Tianyi Zhang

I lose vs. I earn: Consumer perceived price fairness toward algorithmic (vs. human) price discrimination

Xiaoping Zhang, Xusen Cheng

Transparency, Fairness, and Coping: How Players Experience Moderation in Multiplayer Online Games

Renkai Ma, Yao Li, Yubo Kou

Designing Resource Allocation Tools to Promote Fair Allocation: Do Visualization and Information Framing Matter?

Arnav Verma, Luiz Morais, Pierre Dragicevic

Who Do We Mean When We Talk About Visualization Novices?

Alyxander Burns, Christiana Lee, Ria Chawla

AI-Moderated Decision-Making: Capturing and Balancing Anchoring Bias in Sequential Decision Tasks

Jessica Maria Echterhoff, Matin Yarmand, Julian McAuley

Effect of Information Presentation on Fairness Perceptions of Machine Learning Predictors

Niels van Berkel, Jorge Goncalves, Daniel Russo