5 papers
Seed Bank, Co-op, Stoop Swap: Metaphors for Governing Language Model Data for Creative Writing
Alicia Guo, Carly Schnitzler, Katy Gero
How might we govern a language model run for and by creative writers? While generative AI use is on the rise, many language models are created and owned in ways that limit writers'…
Navigating the Conceptual Multiverse
Andre Ye, Jenny Y. Huang, Alicia Guo +3
When language models answer open-ended problems, they implicitly make hidden decisions that shape their outputs, leaving users with uncontextualized answers rather than a working m…
Protosampling: Enabling Free-Form Convergence of Sampling and Prototyping through Canvas-Driven Visual AI Generation
Alicia Guo, David Ledo, George Fitzmaurice +1
As an emergent process, creativity relies on explorations via sampling and prototyping for problem construction. These activities compile knowledge, provide a context enveloping th…
Penalizing Transparency? How AI Disclosure and Author Demographics Shape Human and AI Judgments About Writing
Inyoung Cheong, Alicia Guo, Mina Lee +7
As AI integrates in various types of human writing, calls for transparency around AI assistance are growing. However, if transparency operates on uneven ground and certain identity…
From Pen to Prompt: How Creative Writers Integrate AI into their Writing Practice
Alicia Guo, Shreya Sathyanarayanan, Leijie Wang +2
Creative writing is a deeply human craft, yet AI systems using large language models (LLMs) offer the automation of significant parts of the writing process. So why do some creativ…