5th Workshop on Human-AI Co-Creation with Generative Models

Generative AI technologies have introduced a paradigm shift in machine learning and are rapidly being adopted by consumers and enterprises alike. Consumer applications like ChatGPT, DALL-E, and Midjourney are making access to these technologies widely available and have fueled the rapid commercialization of generative AI. At the same time, generative models have enabled a radically new way for people to interact with computing technology by allowing them to specify what they want rather than how it should be produced. Users are able to create specifications of the kinds of outputs they desire in natural language, through sketches and gestures, novel UI controls or other means. In a recent article, Jakob Nielsen called this form of interaction intent-based outcome specification. He argues that it is the first new interaction paradigm in 60 years, fundamentally different from batch processing and command-based interaction. Intent-based outcome specification shifts control over how computation is performed from the user towards the generative AI models, enabling new forms of co-creativity and co-creation while also creating new challenges of how to best support users with creating outcome specifications that yield the desired results and are effective and safe to use.