Responsible AI literacy: A stakeholder-first approach

Abstract

The need for citizens to better understand the ethical and social challenges of algorithmic systems has led to a rapid proliferation of AI literacy initiatives. After reviewing the literature on AI literacy projects, we found that most educational practices in this area are based on teaching programming fundamentals, primarily to K-12 students. This leaves out citizens and those who are primarily interested in understanding the implications of automated decision- making systems, rather than in learning to code. To address these gaps, this article explores the methodological contributions of responsible AI education practices that focus first on stakeholders when designing learning experiences for different audiences and contexts. The article examines the weaknesses identified in current AI literacy projects, explains the stakeholder-first approach, and analyzes several responsible AI education case studies, to illustrate how such an approach can help overcome the aforementioned limitations. The results suggest that the stakeholder-first approach allows to address audiences beyond the usual ones in the field of AI literacy, and to incorporate new content and methodologies depending on the needs of the respective audiences, thus opening new avenues for teaching and research in the field.

Using the Theoretical-experiential Binomial for Educating AI-Literate Students

“…Their research highlights the positive correlation between AI literacy and users' attitudes, daily usage, and proficiency in AI technology. [13] emphasizes the importance of a stakeholder-first approach in AI education, highlighting the need to prioritize understanding and reflection on the societal impact of AI. By focusing on contextualized knowledge and adapting learning strategies, the study aims to enhance AI literacy among diverse audiences.…”

Using the Theoretical-Experiential Binomial for Educating AI-Literate Students

“…Their research highlights the positive correlation between AI literacy and users' attitudes, daily usage, and proficiency in AI technology. Domínguez Figaredo et al [14] emphasized the importance of a stakeholder-first approach in AI education, highlighting the need to prioritize understanding and reflection on the societal impact of AI. By focusing on contextualized knowledge and adapting learning strategies, the study aimed to enhance AI literacy among diverse audiences.…”