We use AI in various ways to communicate about research. In this session, facilitators will kick off a conversation about the creativity, efficiency, and effectiveness of using LLMs—or not—in their own work communicating with researchers. In table discussions, participants will share their experience with tools, prompts, training, and the pitfalls of AI homogeneity/slop.
As AI policies for research and publication evolve, how do we effectively communicate them to authors? Participants will discuss resources, content, and campaign ideas to address AI and Author Guidelines, working in one of three groups: "brain-only," "brain with search," and "brain with LLM." As a group, we'll reflect on the experience and outputs.
This approach is based on an experiment done by researchers at MIT Media Lab. They developed a methodology to understand the educational impact of using AI for essay writing over time (https://www.brainonllm.com). Their initial findings indicated that a "brain-only" approach creates stronger connections to the content the participants wrote about. If the content wasn't as memorable for the writer, will a reader pay attention?
