Unraveling the Nuances of AI Accountability: A Synthesis of Dimensions Across Disciplines

TL;DR

This paper synthesizes interdisciplinary research to clarify AI accountability, identifying six themes and 13 dimensions that can guide future accountability frameworks for AI systems.

Contribution

It provides a comprehensive synthesis of AI accountability dimensions across disciplines, addressing conceptual ambiguity and proposing key themes for future research.

Findings

Identified six key themes of AI accountability

Mapped 13 dimensions across disciplines

Proposed accountability facilitators for future research

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.