NewAI in Public Policy and Governance

By focusing on the integration and strategic oversight of AI in public policy and governance, the course equips delegates with the necessary skills to harness AI's potential to transform public services.

 

The content addresses key areas such as improving service delivery, leveraging data for policy-making, and navigating ethical and regulatory landscapes, all of which are critical for effective AI deployment in government. The course will also cover key skills to strategically oversee and manage AI programs in government, enhance AI literacy among teams, and evaluate the performance and impact of AI initiatives. By attending, delegates will not only improve their own competencies but also drive meaningful and innovative changes within their departments.

 

Key Training Features

Who Can Attend

Learning Outcomes


Key Training Features:

  • Understand How AI Can Improve Public Services - Gain an in-depth understanding of the various ways AI can enhance the efficiency, effectiveness, and quality of public services.
  • Leverage AI for Data-Driven Policy-Making - Learn how to utilise AI and big data analytics to inform and support policy decisions.
  • Navigate Regulatory, Ethical, and Accountability Considerations in AI Deployment - Understand the ethical principles, regulatory frameworks, and accountability mechanisms governing AI deployment in government.
  • Develop Strategic Planning and AI Literacy for Effective Oversight and Evaluation - Acquire the skills to strategically oversee and manage AI programs in government, enhance AI literacy among teams, and evaluate the performance and impact of AI initiatives.

Who Can Attend:

This course is designed for government leaders, policy makers, and Civil Servants who are directly involved in AI projects or responsible for overseeing AI initiatives within their departments. It targets individuals who play a crucial role in shaping and implementing AI policies, as well as those designing services that integrate AI into their departments or agencies.

Note: Delegates attending this course should possess a basic understanding of Artificial Intelligence (AI) and Generative AI (GenAI), including foundational concepts and terminology. This prior knowledge is essential to fully engage with the course material and participate in discussions on ethical AI practices and responsible innovation.


Learning Outcomes:

  • Identify and implement AI solutions that improve service delivery, increase operational efficiency, and enhance citizen engagement across different public sectors. They will be equipped to advocate for AI projects that address specific public service challenges.
  • Use data insights generated by AI to create more informed, evidence-based policies. This will result in more effective and targeted policy interventions that better address the needs and priorities of the public.
  • Ensure that AI initiatives comply with ethical standards and regulatory requirements, minimising risks related to bias, privacy, and accountability. They will have an overview of policies that promote the ethical use of AI and implement mechanisms that ensure transparency and ethical compliance.
  • Create comprehensive AI integration plans that align with their department’s goals and objectives. This strategic approach will ensure the sustainable and scalable adoption of AI technologies and foster AI literacy and skills development within their teams, thus driving long-term improvements in public services.

Summary

Duration

10:00 - 16:00

Price

Available to be delivered In-House. Contact us for a quotation.

Location

Civil Service College, Westminster, London

In-House Option

This course is available In-House and can be tailored to meet your individual training requirements.

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Lead Trainer

Tom Bryant

Tom Bryant

Tom is a global consultant, advisor and coach to the private and public sectors on Leadership Development, Digital & Workplace Transformation and Successful Change.

Read Bio
Tom Bryant

Tom Bryant

Tom Bryant is a distinguished expert with over 25 years of experience leading large-scale change initiatives and developing impactful learning programs for FTSE 100 companies and several world governments.

Tom holds a Master’s in HR from the US and began his career at Accenture as a Talent & Organisation Performance Consultant. He later joined the British Government's Cabinet Office (Government Digital Services) as a Senior Advisor, where he led digital skill transformation initiatives. He published the first-ever detailed Digital Skills Matrix for Civil Servants and helped establish the British Government’s first ever internal Digital Academies. Tom has also advised the governments of Malaysia, India, and Jersey on their digital capabilities.

Currently, Tom focuses on consulting in AI and Generative AI integration and transformation. He advises clients in government, higher education, financial services, and defence on AI strategy and capability building. Tom is dedicated to helping organisations and governments navigate change and develop adaptive resilience in the age of Artificial Intelligence.

 

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