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Governing Ethical AI Transformation: A Case Study of AuroraAI.
Jaana Leikas1, Aditya Johri2,3, Marko Latvanen4
1VTT Technical Research Centre of Finland Ltd., Tampere, Finland.
Frontiers in Artificial Intelligence
|February 28, 2022
Summary
Public sector artificial intelligence (AI) requires ethical guidelines and public dialogue for responsible deployment. The Finnish AuroraAI program
Area of Science:
- Public Administration
- Artificial Intelligence Ethics
- Societal Impact of Technology
Background:
- The sustainable development of artificial intelligence (AI) in the public sector necessitates multi-stakeholder dialogue.
- Ensuring AI benefits society requires careful consideration of ethical issues and public involvement in governance.
- Existing governance frameworks may not adequately address the complexities of AI in public services.
Purpose of the Study:
- To explore ethical and responsible AI use in the public sector for societal benefit.
- To examine government approaches for steering AI development and deployment.
- To investigate the role of public deliberation in AI governance for sustainable societies.
Main Methods:
- Case study analysis of the co-development of Finland's national AI program, AuroraAI.
- Examination of ethical issues and public engagement strategies within AI governance.
- Review of the AuroraAI Ethics Board's deliberations on AI solution options.
Main Results:
- The AuroraAI case highlights challenges in developing and deploying AI for public administration.
- Multi-stakeholder dialogue is crucial for addressing ethical considerations in public sector AI.
- An ethics board can facilitate deliberation towards sustainable and inclusive AI societal integration.
Conclusions:
- Ethical and responsible AI deployment in the public sector demands inclusive dialogue and robust governance.
- The Finnish AuroraAI program offers insights into co-developing AI for citizen-centric public services.
- Continued efforts are needed to foster a sustainable and democratic AI society through public administration.
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