Poster
in
Workshop: HCAI@NeurIPS 2022, Human Centered AI
The Design Space of Pre-Trained Models
Meredith Morris · Carrie Cai · Jess Holbrook · Chinmay Kulkarni · Michael Terry
Keywords: [ pre-trained models ] [ AI ] [ foundation models ] [ ML ] [ HCI ] [ design ]
Card et al.’s classic paper "The Design Space of Input Devices" established the value of design spaces as a tool for HCI analysis and invention. We posit that developing design spaces for emerging pre-trained, general AI models is necessary for supporting their integration into human-centered systems and practices. We explore what it means to develop an AI model design space by proposing two design spaces relating to pre-trained AI models: the first considers how HCI can impact pre-trained models (i.e., interfaces for models) and the second considers how pre-trained models can impact HCI (i.e., models as an HCI prototyping material).