Bibliographic Information: Nguyen, L. H., Lins, S., Renner, M., & Sunyaev, A. (2024). Unraveling the Nuances of AI Accountability: A Synthesis of Dimensions Across Disciplines. In Thirty-Second European Conference on Information Systems (ECIS 2024).
Research Objective: This research paper aims to identify the key dimensions of AI accountability by synthesizing existing research across multiple disciplines.
Methodology: The authors conducted a descriptive literature review, analyzing 67 articles from various disciplines, including computer science, law and policy, and information systems. They used thematic analysis to identify and categorize key dimensions of AI accountability, drawing upon the accountability framework by Day and Klein (1987).
Key Findings: The study identifies six key themes of AI accountability: trigger, entity, situation, forum, criteria, and sanctions. Each theme is further divided into 13 dimensions, highlighting the nuances of AI accountability. The authors also identify three categories of accountability facilitators: governance mechanisms, system properties, and social features.
Main Conclusions: The paper provides a comprehensive framework for understanding AI accountability by synthesizing existing research and highlighting key dimensions. This framework can guide future research and practice by providing a common ground for understanding and addressing AI accountability challenges.
Significance: This research contributes to the growing field of AI accountability by providing a much-needed interdisciplinary synthesis and a clear framework for understanding its key dimensions. This is crucial for addressing the conceptual ambiguity surrounding AI accountability and fostering responsible AI development and deployment.
Limitations and Future Research: The authors acknowledge that some dimensions of AI accountability remain underexplored, such as the accountability of algorithmic actors and the specific situations within the AI lifecycle where accountability comes into play. They encourage future research to delve deeper into these areas and investigate the impact of different accountability mechanisms on individuals' perceptions and behaviors.
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by L. H. Nguyen... at arxiv.org 10-08-2024
https://arxiv.org/pdf/2410.04247.pdfDeeper Inquiries