Organizational perspectives on mandating AI transparency

The rapid growth of AI technologies across industries offers significant productivity gains but also introduces notable risks and ethical challenges. As AI system are usually opaque and difficult for users to understand, this can erode users’ trust in the system and make them hesitant to engage. Recent studies have highlighted the importance of AI transparency as one of the core principles of responsible AI, specifically in building trust and ensuring accountability. While AI transparency has been mostly voluntary, more governments are considering mandates. This research analyzes organizational perspectives on mandating AI transparency by examining public consultations to the Australian government’s “Safe and responsible AI” discussion paper and employing both manual and automated thematic analysis with large language models (LLMs). The study aims to advance understanding of AI transparency as a socio-technical phenomenon and inform policymakers and industry leaders with practical insights.

Publication Details

Journal
Journal of the Association for Information Systems
Published
2024-12-10
Primary Topic
Carbohydrate Chemistry and Synthesis
Type
article
Field-Weighted Citation Impact
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article

Organizational perspectives on mandating AI transparency

Journal of the Association for Information Systems
Carbohydrate Chemistry and Synthesis
article

Organizational perspectives on mandating AI transparency

article en

Abstract

The rapid growth of AI technologies across industries offers significant productivity gains but also introduces notable risks and ethical challenges. As AI system are usually opaque and difficult for users to understand, this can erode users’ trust in the system and make them hesitant to engage. Recent studies have highlighted the importance of AI transparency as one of the core principles of responsible AI, specifically in building trust and ensuring accountability. While AI transparency has been mostly voluntary, more governments are considering mandates. This research analyzes organizational perspectives on mandating AI transparency by examining public consultations to the Australian government’s “Safe and responsible AI” discussion paper and employing both manual and automated thematic analysis with large language models (LLMs). The study aims to advance understanding of AI transparency as a socio-technical phenomenon and inform policymakers and industry leaders with practical insights.

Journal of the Association for Information Systems
Decent work and economic growth
Openalex Percentile: Top 58%
Carbohydrate Chemistry and Synthesis
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