Artificial Intelligence (AI) systems increasingly influence human decision-making, from search engine suggestions to hiring recommendations. However, these systems often reinforce cognitive biases, leading to skewed perceptions and decision errors. This workshop will examine the intersection of cognitive biases and AI-generated recommendations, providing UX researchers, designers, and HCI practitioners with strategies to design transparent, fair, and bias-aware AI systems. Additionally, it will include people who use AI in their daily lives to help them realize the impact AI has on their choices. Through interactive discussions, usability studies, and real-world case analyses, participants will explore methods to identify and mitigate cognitive biases in AI recommendations. The workshop aims to foster collaboration and generate insights for a forthcoming publication on bias-aware AI design.

Relevance of Topic

This workshop is highly relevant to the HAI community as it addresses the critical intersection of human psychology and artificial intelligence, a core theme of the conference. AI systems are increasingly influencing human decision-making in everyday life, from search suggestions to professional tools. The workshop directly confronts the problem that these AI systems can reflect and amplify human cognitive biases, leading to skewed perceptions, discrimination, and errors in judgment.

Objectives

The primary goals of the workshop are to:

• Raise Awareness: Educate participants on cognitive biases and their effects on AI recommendations.

• Enhance Recognition: Help attendees identify when and how AI-generated suggestions might be biased.

• Empower Action: Provide participants with practical strategies to lessen biases and design fairer AI systems.

• Foster Collaboration: Create a forum for discussion among UX researchers, designers, data scientists, and ethicists.

• Build Foundational Knowledge: Develop reference materials and frameworks to help attendees address cognitive bias in their work. The insights gathered will also contribute to a forthcoming publication on the topic.

This half day, workshop will take place on November 10th, 2025 in Yokohama and is part of the International Conference on Human-Agent Interaction (HAI).

Detailed Workshop Schedule (9:00 AM - 12:00 PM)

Morning (Discover and Define)

09:00 - 09:30 Kickoff and Introductions:

• Presentation: Introduction to cognitive biases, their psychological foundations, and their impact on decision-making.

• Discussion: Exploring personal experiences of bias in everyday digital interactions.

09:30 - 10:15 Deep Dive into AI Bias:

• Presentation: How AI inherits and amplifies biases, with real-world examples.

• Discussion: Recognizing biased AI-generated recommendations participants have encountered.

10:15 - 10:30 Coffee Break

10:30 - 11:15 Interactive Hands-on Session:

• Activity 1: Identifying bias in AI-generated content using live examples.

• Activity 2: Strategies to mitigate bias when designing AI recommendations.

11:15 - 12:00 Wrap-up and Collaborative Discussion:

• Open forum: Sharing insights and collaborative problem-solving. This session will be used to summarise the main outcomes and discuss actionable further work, contributing to the planned publication on bias-aware AI design.

Prasasti Aich

prasastiaich167@gmail.com