Abstract

Ethics is increasingly viewed as an integral part of artificial intelligence (AI) literacy. Still, existing AI literacy frameworks lack a comprehensive account of the competencies needed to reason about and act in relation to AI ethical issues in practice. Rather, AI literacy conceptualizations often contain high-level ethical principles that are difficult to translate to practices in real life AI use cases. The way ethics is described varies significantly in both scope and emphasis between the conceptualizations, and hence the focus on the systemic and multi-domain impacts of AI also varies significantly. This study employs a methodology developed by Podsakoff et al. (2016) for concept development and includes 1) a narrative review of ethical notions the current AI literacy literature and their potential attributes, 2) an organization and assessment of these attributes, 3) the development of a preliminary definition, and 4) refinement of this conceptual definition coined as Ethical AI Literacy. The aim of this study is to define a clear conceptual definition of the ethical aspects of AI literacy, which is essential for scientific progress as well as for responsible development, deployment and use of AI.

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