计算机科学
读写能力
对话
知识管理
集合(抽象数据类型)
多样性(控制论)
心理学
人工智能
教育学
沟通
程序设计语言
作者
Duri Long,Brian Magerko
出处
期刊:Human Factors in Computing Systems
日期:2020-04-21
卷期号:: 1-16
被引量:916
标识
DOI:10.1145/3313831.3376727
摘要
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.
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