Operationalising ethics in AI - introduction webinar and implementation workshops
Join The Alan Turing Institute to explore responsible AI concepts and strategies, and learn to design and deploy ethical AI systems with a focus on generative AI, delivered as part of the Innovate UK BridgeAI programme.
About the event
Operationalising Ethics in AI is a training offer hosted by the Alan Turing Institute, as part of the BridgeAI programme, in collaboration with Trilateral Research. Our aim is to guide companies and workers in their AI adoption journey, increasing their understanding of the challenges arising with AI and providing the tools to tackle them responsibly.
We are running two independent sessions:
- An introduction webinar on responsible AI, exploring key ethical challenges, principles, and practical strategies for safety, transparency, fairness, and privacy.
- The implementation workshop, providing practical tools and skills for implementing responsible AI principles, aligned with legislation, standards, and best practices.
Who should attend?
- Business leaders from SMEs, making strategic decisions to implement AI in organisations.
- Business professionals from SMEs (including those involved in AI system development or adoption) and related stakeholders.
- Responsible AI enthusiasts, advocates and practitioners who want to network and exchange views on how to implement AI responsibly.
Please note that the introduction webinar is targeted at those in early adoption stage, beginning their AI journey while the implementation workshops are targeted at those in the development stage and ready to implement.
You can join one or both sessions depending on your stage, interest and needs.
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Introduction webinar: Friday 21 February 2025, 10:00-11:30
Overview
At the introduction webinar on responsible AI, we will increase your awareness on the key ethical challenges that AI adoption brings, exploring ethical principles such as safety, transparency, fairness, and privacy across industries, with practical insights and mitigation strategies.
What you’ll learn
After the Introduction Webinar, participants will be able to:
- Evaluate ethical risks within business practices and across industries.
- Propose initial high-level mitigation strategies to address ethical risks in various sectors.
- Explain the key ethical concepts of safety, transparency, fairness, and privacy, and their relevance in business and industry contexts.
- Identify ethical considerations and challenges specific to the creative, transport, construction, and agrifood industries, using high-level examples.
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Implementation workshop for transport, manufacturing and agrifood industries: Friday 28 February 2025, 10:00-13:00
Implementation workshop for the creative industry: Friday 28 February 2025, 13:30-16:30
Overview
The implementation workshops will provide practical tools to implement responsible AI principles in compliance with applicable national legislation (e.g. UK standards) and best practice and equip attendees with the skills needed to implement, or to manage others who are implementing, responsible AI practices.
What you’ll learn
After the implementation workshop, participants will be able to:
- Demonstrate a deeper understanding of AI ethics within the context of the creative industries sector.
- Apply practical tools for operationalising AI ethics, including the use of standards, AI literacy, and AI risk assessments.
- Analyse the intersection of AI ethics and intellectual property legal issues relevant to their industries.
- Engage in interactive activities such as breakout discussions and use case development to build practical skills for implementing AI ethics in business.
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Who is The Alan Turing Institute?
The Alan Turing Institute is the national institute for data science and AI, tackling big challenges in science, society, and the economy through research. The Institute is committed to advancing the world-changing potential of data science and artificial intelligence while promoting ethical and responsible use.
Related programme

BridgeAI
Empowering UK organisations to harness the power of AI through support and funding, bridging the AI divide for a more productive UK.