mlsanityData to 7 Oct 2026

Artificial Intelligence for the Public Sector: Opportunities and challenges of cross-sector collaboration

arXiv 1809.04399 ↗First posted 12 Sep 2018cs.AI cs.CYcited by 1

Not on the map. Why?

Abstract (arXiv)

Public sector organisations are increasingly interested in using data science and artificial intelligence capabilities to deliver policy and generate efficiencies in high uncertainty environments. The long-term success of data science and AI in the public sector relies on effectively embedding it into delivery solutions for policy implementation. However, governments cannot do this integration of AI into public service delivery on their own. The UK Government Industrial Strategy is clear that delivering on the AI grand challenge requires collaboration between universities and public and private sectors. This cross-sectoral collaborative approach is the norm in applied AI centres of excellence around the world. Despite their popularity, cross-sector collaborations entail serious management challenges that hinder their success. In this article we discuss the opportunities and challenges from AI for public sector. Finally, we propose a series of strategies to successfully manage these cross-sectoral collaborations.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). First posted on arXiv 12 Sep 2018.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2021: 1.

1 paper.