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Paper Number
1618
Paper Type
short
Description
Artificial Intelligence (AI) has the potential to change the future of work by improving employee task performance. Unlocking this potential requires that organizations prioritize developing employee AI competencies. Our understanding of AI competencies required to engage with AI-based systems effectively, however, is limited. The concept of AI literacy serves as a starting point to map and organize the competencies needed to use, explore, and communicate (with) AI. This short paper extends previous conceptualizations of AI literacy by exploring its dimensions and characteristics in organizational settings, both conceptually and empirically. We present insights into a multimethod taxonomy development process and a preliminary taxonomy of AI literacy. Our results strengthen and extend the conceptualization of the functional, critical, and sociocultural dimensions of AI literacy. We identify potential relationships between these dimensions and find that sociocultural AI literacy plays a significant role in enabling employees to engage with AI effectively at work.
Recommended Citation
Heyder, Teresa and Posegga, Oliver, "Extending the foundations of AI literacy" (2021). ICIS 2021 Proceedings. 9.
https://aisel.aisnet.org/icis2021/is_future_work/is_future_work/9
Extending the foundations of AI literacy
Artificial Intelligence (AI) has the potential to change the future of work by improving employee task performance. Unlocking this potential requires that organizations prioritize developing employee AI competencies. Our understanding of AI competencies required to engage with AI-based systems effectively, however, is limited. The concept of AI literacy serves as a starting point to map and organize the competencies needed to use, explore, and communicate (with) AI. This short paper extends previous conceptualizations of AI literacy by exploring its dimensions and characteristics in organizational settings, both conceptually and empirically. We present insights into a multimethod taxonomy development process and a preliminary taxonomy of AI literacy. Our results strengthen and extend the conceptualization of the functional, critical, and sociocultural dimensions of AI literacy. We identify potential relationships between these dimensions and find that sociocultural AI literacy plays a significant role in enabling employees to engage with AI effectively at work.
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