Fostering Dialogue on AI Ethics and Biases Through an Issue-Based Traveling Exhibition

Abstract

Discriminatory algorithms, unauthorized data use, and environmental costs show how artificial intelligence (AI) advancements are tied to larger sociopolitical issues. Through the design and pilot study of AI Dilemmas, an issue-based traveling exhibition, this qualitative case study explores fostering dialogue on such complex scientific concepts. The findings offer a conceptual design framework to intentionally design for dialogue. Through the pilot study, we observed continuous, on-topic engagement and dialogue among visitors, who shared personal AI experiences, prior knowledge, and opinions. The dialogues took various forms such as discussions, debate, question-and-answer, storytelling, and brainstorming, fostering a rich exchange of ideas and perspectives among visitors. The conclusions speak to the importance of intentional design through an issue-based approach to foster dialogue about contemporary socioscientific issues, such as AI ethics and biases.