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Ethics of Artificial Intelligence in the Public Sector

Using AI Ethically

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This course is available for teams and organisations.

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Overview

The pressure is building on public sector organisations to use advances in artificial intelligence (AI) to transform service provision. However, we must acknowledge the potential privacy, equality and security risks of deploying AI tools without robust controls in place.

Our half-day masterclass gives you an understanding of the key ethical questions involved in rolling out AI technologies, as well as the moral, legal and reputational pitfalls that go alongside them. Learn how to adapt and apply best practice principles of ethical AI to the specific needs of your organisation

Leave the course with a practical guide to building an appropriate guidance framework to allow your organisation to innovate without taking unnecessary risks.

Learning Outcomes

  • Understand and mitigate the risks of using AI

  • Evaluate the impact of AI deployments on staff and the public

  • Learn how to balance safeguards with responsible innovation

  • Develop an Ethical AI Framework





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Agenda


09:00 - 09:05 Registration

09:05 - 09:30 - Trainer’s Welcome and Clarification of Learning Objectives

09:30 - 10:00 - Understanding AI Risks

  • How AI models work, and the potential for bias and discrimination

  • Why reliability and security require constant testing and monitoring

  • Understand the legal and reputational risks from bad implementation

10:00 - 10:30 - Case Studies and Best Practice

  • Explore examples of AI use in the public sector and in other relevant areas

  • Understand common pitfalls and emerging best practice

  • Assess how AI interacts with the current legal framework in the UK

10:30 - 11:15 - Defining Ethical Principles

  • Explore the importance of explain ability and accountability

  • Know how to evaluate privacy considerations and individual rights

  • Evaluate the impact of AI deployments on staff and the public

11:15 - 11:30 - Morning Break

11:30 - 12:45 - Developing an Ethical AI Framework

  • Understand the pros and cons of top-down and bottom-up approaches

  • Determine the best way to balance safeguards with responsible innovation

  • Be aware of reliable sources of information as AI develops

12:45 - 13:00 - Feedback, Evaluation and Close

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