Springer Nature Switzerland AG
Pages 78-79
Date of Publication:
January 2026
The chapter examines how the rapid spread of generative AI, popularized by applications like ChatGPT, affects government and public-sector use of AI. The authors argue that governments can model responsible AI use by adopting principles of algorithmic governance, which they define as governing algorithms rather than being governed by them. They review key risks of generative AI in public institutions, outline core algorithmic governance principles, propose a step-by-step implementation approach for public-sector projects, and discuss opportunities for collaboration between public and private actors.
Citations
Esposito, Mark, Daphne Halkias, Terence Tse, and Tatiana Harkiolakis. 2025. Mitigating the risks of generative AI in government through algorithmic governance. In Navigating AI in business: Strategies and insights across disciplines, ed. Afërina Skeja, Veland Ramadani, Nora Sadiku-Dushi, Marina Dabić, Marco Valeri, and Gülay Keskin, 79–98. Cham: Springer Cham. https://link.springer.com/chapter/10.1007/978-3-032-02526-5_5