AI and Ethics in User Research - Bridging Gaps Across Disciplines: Addressing Bias and Building Ethical Frameworks for Interdisciplinary Collaboration

Abstract

The integration of generative artificial intelligence (AI) into social science research raises a paradox: does it enhance our ability to think creatively and imagine boldly, or risk outsourcing our imagination in pursuit of productivity? Through a mixed-methods approach combining ethnographic observation of AI-enabled design teams, and future methodologies, this study investigates the impact of AI tools on creative processes and research equity. Drawing on behavioral mapping and ecosystem design frameworks, our preliminary findings reveal a complex interplay where AI amplifies human insight through pattern recognition while potentially reinforcing systemic biases in generative outputs. To address these challenges, a framework for integrating AI as a co-creative partner is proposed. It incorporates interdisciplinary review processes, embedded ethical checkpoints, and techniques for leveraging Generative AI to inspire divergent rather than prescriptive thinking. This research examines the broader implications of AI in reshaping power dynamics within organizations and design research practices, offering insights into how interdisciplinary collaboration can prioritize ethical innovation and systemic equity.

Presenters

Shreya Thakkar
Senior Design Researcher, Research By Design, Innovation, Electrolux Group, North Carolina, United States

Details

Presentation Type

Paper Presentation in a Themed Session

Theme

2025 Special Focus—Minds and Machines: Artificial Intelligence, Algorithms, Ethics, and Order in Global Society

KEYWORDS

ARTIFICIAL INTELLIGENCE ETHICS, USER RESEARCH METHODS, DESIGN ETHNOGRAPHY, FUTURES STUDIES