What this publication covers
Organizes AI literacy competencies and design considerations, focusing on understanding, interacting with, and critically evaluating these systems.
How this reference can help
Turn familiarity with tools into an understanding of their limits.
Curated by Ricardo Martins
View the original abstract 🇺🇸 🇬🇧
Artificial intelligence (AI) is becoming increasingly integrated in user- facing technology, but public understanding of these technologies is often limited. There is a need for additional HCI research investigating a) what competencies users need in order to effectively interact with and critically evaluate AI and b) how to design learner - centered AI technologies that foster increased user understanding of AI. This paper takes a step towards realizing both of these goals by providi ng a concrete definition of AI literacy based on existing research . We synthesize a variety of interdisciplinary literature into a set of core competencies of AI literacy and suggest several design considerations to support AI developers and educators in c reating learner -centered AI. These competencies and design considerations are organized in a conceptual framework thematically derived from the literature. This paper’s contributions can be used to start a conversation about and guide future research on AI literacy within the HCI community. Author Keywords AI literacy; AI education; AI for K-12; artificial intelligence; machine learning; computing education CSS CONCEPTS • General and reference~Surveys and overviews • Social and professional topics~Computing literacy • Computing methodologies~Artificial intelligence