2023/01/13 by Justin D. Weisz, Michael Müller, Michael Muller +6 · 4 citations
Computer Science · Social Sciences · #Ethics and Social Impacts of AI #cs.AI #cs.CY #cs.HC
paper · pdf · doi:10.48550/arxiv.2301.05578
16 pages, 1 figure. Submitted to the 4th Workshop on Human-AI Co-Creation with Generative Models (HAI-GEN) at IUI 2023
arxiv created 2023/01/13 · arxiv updated 2023/01/16
Generative AI technologies are growing in power, utility, and use. As generative technologies are being incorporated into mainstream applications, there is a need for guidance on how to design those applications to foster productive and safe use. Based on recent research on human-AI co-creation within the HCI and AI communities, we present a set of seven principles for the design of generative AI applications. These principles are grounded in an environment of generative variability. Six principles are focused on designing for characteristics of generative AI: multiple outcomes & imperfection; exploration & control; and mental models & explanations. In addition, we urge designers to design against potential harms that may be caused by a generative model's hazardous output, misuse, or potential for human displacement. We anticipate these principles to usefully inform design decisions made in the creation of novel human-AI applications, and we invite the community to apply, revise, and extend these principles to their own work.