AI in the public sector

Course Ratings

"An insightful and engaging course that demystifies AI for the public sector. It provides clear, practical guidance on how to use AI ethically and effectively in government services. A must for anyone looking to navigate the future of digital transformation in the public sector!"

AI in the Public Sector Course

1 Day in Duration

About this Course

Designed for public sector professionals, this course covers ethical considerations, risk management, and practical AI applications to enhance efficiency and public service delivery. Learn how to harness AI responsibly while maintaining transparency, security, and public trust.

Course Content

Module 1: Introduction to AI & Public Sector Applications Understand the fundamentals of artificial intelligence and how it is being used across public sector organisations. This module covers key AI technologies, including automation, machine learning, and natural language processing, and their impact on governance and service delivery.

Module 2: Ethical & Legal Considerations in AI AI implementation in the public sector requires careful consideration of ethics, fairness, and accountability. This module examines bias in AI, responsible data use, and legal frameworks to ensure compliance with regulations while maintaining public trust.

Module 3: AI Implementation & Risk Management Learn best practices for integrating AI into public sector workflows while addressing risks such as security threats, misinformation, and unintended consequences. This module provides strategies for responsible AI deployment, governance, and ongoing monitoring.

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AI in the public sector

Who is this course for?

This course is designed for public sector professionals, including policymakers, government officials, IT leaders, and service managers looking to understand AI's role in improving public services. It is ideal for those seeking to implement AI-driven solutions while ensuring ethical responsibility, security, and transparency in their organisations. No prior AI expertise is required, making it accessible to a broad audience.



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