Governing Ethical AI Transformation: A Case Study of AuroraAI

Jaana Leikas · Aditya Johri · Marko Latvanen · Nina Wessberg · Antti Hahto

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Ethics and Social Impacts of AI E-Government and Public Services Smart Cities and Technologies

Abstract

How can the public sector use AI ethically and responsibly for the benefit of people? The sustainable development and deployment of artificial intelligence (AI) in the public sector requires dialogue and deliberation between developers, decision makers, deployers, end users, and the public. This paper contributes to the debate on how to develop persuasive government approaches for steering the development and use of AI. We examine the ethical issues and the role of the public in the debate on developing public sector governance of socially and democratically sustainable and technology-intensive societies. To concretize this discussion, we study the co-development of a Finnish national AI program AuroraAI, which aims to provide citizens with tailored and timely services for different life situations, utilizing AI. With the help of this case study, we investigate the challenges posed by the development and use of AI in the service of public administration. We draw particular attention to the efforts made by the AuroraAI Ethics Board in deliberating the AuroraAI solution options and working toward a sustainable and inclusive AI society.

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References

2019The global landscape of AI ethics guidelines 2018AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations 2018Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor 2018Artificial Intelligence and the Public Sector—Applications and Challenges 2018Mapping the challenges of Artificial Intelligence in the public sector: Evidence from public healthcare 2021Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda 2013A Framework for Responsible Innovation 2020AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings

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2025Requirements for trustworthy AI-enabled automated decision-making in the public sector: A systematic review 2024Ethics dumping in artificial intelligence 2025Good governance of public sector AI: a combined value framework for good order and a good society

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