· 2020
What is AI Literacy? Competencies and Design Considerations
- 2,406citations
- 2020year
Short summary
This paper defines AI literacy by synthesizing interdisciplinary research into a set of core competencies and proposes design considerations for AI developers and educators.
AI-generated from the title and abstract; the full text is not read.
Key points
- Defines AI literacy based on a synthesis of interdisciplinary research.
- Identifies core competencies required for effective AI interaction and evaluation.
- Suggests design considerations for AI developers and educators.
- Organizes competencies and considerations into a conceptual framework.
AI-generated from the title and abstract; the full text is not read.
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.
The authors' abstract, as published at the source., 2020 · DOI ↗
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