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AI and the Future of the Public Sector

AI and the Future of the Public Sector

53mIntermediate2025-04-01

Authors

ARQ LONDON

ARQ LONDON

Tony Boobier

Tony Boobier

Course details

This course explores the transformative impact of AI on the public sector, covering key topics such as data acquisition, maintenance, analytics, and communication, as well as the ethical considerations surrounding AI implementation. Examine AI’s role in improving efficiency in sectors like healthcare, education, public safety, and social services. Check out this course to gain a deeper understanding of AI technologies, their practical applications, and how to navigate the ethical and operational challenges in the public sector.

Learning objectives
Analyze the foundational building blocks of AI and evaluate their implications for transforming various sectors of public service.
Apply AI concepts and frameworks to identify potential solutions to challenges in areas such as healthcare, education, and public safety.
Critically assess the ethical and practical considerations in the implementation of AI within public sector systems to foster citizen trust and operational efficiency.

Skills covered

AI for Business FoundationsArtificial Intelligence for BusinessOne-Off

Concepts

0. Introduction

  • 01 - Overview of the public sector and AI s transformative role

1. The Key Building Blocks

  • 02 - The key building blocks of AI in the public sector

2. The Case for Change

  • 03 - Key imperatives for AI in public sector

3. AI Applications in Public Sectors

  • 04 - AI's impact on policing - Efficiency and ethics
  • 05 - AI in social services - Innovation, ethics, and challenges
  • 06 - AI in Healthcare - Proactive care, innovation, and ethics
  • 07 - AI and the future transformation of education
  • 08 - AI in defense - Transforming the battlefield and ethics

4. Building Smarter Cities and Social Housing

  • 09 - Building smarter cities - AI and the future of urban living
  • 10 - AI in social housing - Transforming management and support

5. Risk, Ethics, and Leadership in AI Adoption

  • 11 - AI in state-owned industries - Transforming operations
  • 12 - Techno-ethics - The state, data, and our digital future
  • 13 - Managing risk in the public sector - AI and cyber crime
  • 14 - Leadership in the AI era - Public sector vs. private sector

6. Bias, Benefits, and the Future of AI

  • 15 - Avoiding bias and measuring benefits in AI implementation

Conclusion

  • 16 - AI in the public sector - Transforming for the future

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