Fostering public AI literacy (i.e. “a set of competencies that enables individuals to critically evaluate AI technologies; communicate and collaborate effectively with AI; and use AI as a tool online, at home, and in the workplace”) 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.
This workshop aims 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 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.
We welcome submissions related to the following topics:
- 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
You can submit here.
Please submit by February 13, 2023 in order to be considered for participation in the workshop. Submissions should be in one of the following formats. All submissions should comply with CHI accessibility guidelines for papers and videos.
Submissions do not need to be blinded.
- 2-4 page position papers written in the new single-column ACM Master Article Template (please refer to CHI 2023 Publication Formats guide), including references
- Video presentations or video demos with subtitles
- Video presentations should be 5-7 minutes.
Both video and paper submissions will need to provide a 150-word abstract.
Participants will be notified of acceptance before the CHI early registration deadline (by early March).