This workshop will be held in person at CHI 2023 in Hamburg, Germany on Friday, April 28, 2023.
Thank you to the National Science Foundation for partial support of this workshop through award DRL-2318025.
UPDATE: The submission site is now closed.
Submissions do not need to be blinded.
Fostering public AI literacy has been a growing area of interest at CHI for several years, and a substantial community is forming around issues such as teaching children how to build and program AI systems, designing learning experiences to broaden public understanding of AI, developing explainable AI systems, understanding how novices make sense of AI, and exploring the relationship between public policy, ethics, and AI literacy. The goal of this workshop is to bring together researchers in the community working on a diverse range of topics that relate to AI literacy. We hope to involve an interdisciplinary group of researchers who may not otherwise have the opportunity to engage in an extended dialogue with each other about AI literacy. The workshop activities will be designed to facilitate sharing of research ideas across disciplines; engage an interdisciplinary group of researchers in a discussion about the meaning of the term AI literacy, the competencies associated with it, and how to design to foster AI literacy; explore how AI literacy needs might differ across different user groups and contexts; interrogate how to foster equitable and culturally responsive AI literacy initiatives; and identify some of the key challenges to broadening public AI literacy.
In this workshop, we seek to bring together researchers in the CHI community who are conducting research related to one or more of the topics listed below.
- designing formal or informal learning experiences to foster learning about AI (for adults and/or children)
- developing instruments to evaluate learner understanding of AI
- designing tools or curricula to teach about AI
- developing explainable AI (XAI) systems that can foster learning-through-interaction with non-expert human partners
- understanding how non-experts make sense of AI systems and tools
- investigating how novices learn about AI through activities such as information foraging
- designing public art or installations to engage people in learning about AI
- community-based research investigating relevant issues, concerns, and needs related to AI literacy
- developing equitable and culturally responsive AI literacy initiatives
- shaping or studying public policy and ethics related to AI education and AI literacy
We will group workshop submissions into higher-level panels on Explainable AI, Designing Interactive Learning Experiences and Tools for AI Literacy, AI for K-12 Education, and AI, Ethics, and Public Policy. Each panel will be led by a discussant with relevant expertise, who will facilitate a discussion amongst panelists and other workshop participants. Panels will not be a series of traditional paper presentations—rather, they will be a facilitated discussion designed to elicit conversation surrounding the workshop goals. The panel discussions will be followed by a two-hour affinity mapping activity at the end of the day. This activity is intended to aid in synthesizing ideas raised during the panel discussion and identify common threads amongst the many research areas represented by this workshop.
Key goals of the workshop include:
- Providing an opportunity for participants to network and identify common research interests related to AI literacy
- Curating a body of work related to AI literacy that spans work on explainable AI, public policy, education, and design
- Mapping common themes, questions, and emerging research areas related to AI literacy in the CHI community