Generative AI Going Awry: Enabling Designers to Proactively Avoid It in CSCW Applications
- Jed R. Brubaker ,
- Casey Fiesler ,
- Michael Madaio ,
- John Tang ,
- Richmond Y. Wong
Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing |
The rapid development and deployment of generative AI technologies creates a design challenge of how to proactively understand the implications of productizing and deploying these new technologies, especially with regard to negative design implications. This is especially concerning in CSCW applications, where AI agents can introduce misunderstandings or even misdirections with the people interacting with the agent. In this panel, researchers from academia and industry will reflect on their experiences with ideas, methods, and processes to enable designers to proactively shape the responsible design of genAI in collaborative applications. The panelists represent a range of different approaches, including speculative fiction, design activities, design toolkits, and process guides. We hope that the panel encourages a discussion in the CSCW community around techniques we can put into practice today to enable the responsible design of genAI.