Paper Number
2009
Paper Type
Complete Research Paper
Abstract
The widespread diffusion of Artificial Intelligence (AI)-based systems offers many opportunities to contribute to the well-being of individuals and the advancement of economies and societies. This diffusion is, however, closely accompanied by public scandals causing harm to individuals, markets, or society, and leading to the increasing importance of accountability. AI accountability itself faces conceptual ambiguity, with research scattered across multiple disciplines. To address these issues, we review current research across multiple disciplines and identify key dimensions of accountability in the context of AI. We reveal six themes with 13 corresponding dimensions and additional accountability facilitators that future research can utilize to specify accountability scenarios in the context of AI-based systems.
Recommended Citation
Nguyen, Long Hoang; Lins, Sebastian; Renner, Maximilian; and Sunyaev, Ali, "Unraveling the Nuances of AI Accountability: A Synthesis of Dimensions Across Disciplines" (2024). ECIS 2024 Proceedings. 15.
https://aisel.aisnet.org/ecis2024/track04_impactai/track04_impactai/15
Unraveling the Nuances of AI Accountability: A Synthesis of Dimensions Across Disciplines
The widespread diffusion of Artificial Intelligence (AI)-based systems offers many opportunities to contribute to the well-being of individuals and the advancement of economies and societies. This diffusion is, however, closely accompanied by public scandals causing harm to individuals, markets, or society, and leading to the increasing importance of accountability. AI accountability itself faces conceptual ambiguity, with research scattered across multiple disciplines. To address these issues, we review current research across multiple disciplines and identify key dimensions of accountability in the context of AI. We reveal six themes with 13 corresponding dimensions and additional accountability facilitators that future research can utilize to specify accountability scenarios in the context of AI-based systems.
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