The AI Accomplice: Exploring Generative Artificial Intelligence in Facilitating and Amplifying Deceptive Designs

Zusammenfassung

As generative Artificial Intelligence (AI) becomes increasingly embedded and utilized for digital design, it presents both opportunities and risks. One major concern is its potential to facilitate and incorporate deceptive design patterns into computing technologies, which could manipulate or mislead users to their disadvantage. Similar to the concept of precedent-based design, a common approach in design theory that suggests reapplying previous design solutions to similar or identical problems, generative AI can integrate deceptive design patterns included in the training data a model has seen before. Our workshop explores how generative AI suggests and enacts deceptive design patterns in digital design. The goal of the workshop is to explore the ethical challenges of utilizing generative AI models and develop strategies to detect or prevent manipulative practices, thereby creating more transparent and equitable AI-generated experiences.

Publikation
In Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI ‘26)
Christopher Katins
Christopher Katins
Doktorand & HCI Researcher