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 providing 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 creating 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.
Keywords
Computer scienceLiteracyConversationSet (abstract data type)Variety (cybernetics)Knowledge managementArtificial intelligencePsychologyPedagogy
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Publication Info
- Year
- 2020
- Type
- article
- Pages
- 1-16
- Citations
- 1575
- Access
- Closed
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Cite This
Duri Long,
Brian Magerko
(2020).
What is AI Literacy? Competencies and Design Considerations.
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
, 1-16.
https://doi.org/10.1145/3313831.3376727
Identifiers
- DOI
- 10.1145/3313831.3376727