The Alan Turing Institute presents an essential, collaborative workshop designed to help organisations implement responsible AI practices and navigate the challenges of AI adoption. As AI tools become increasingly accessible across all sectors, understanding and mitigating AI risks has never been more critical for SMEs making strategic decisions about implementing AI in their organisations. This introductory 3-hour session brings together AI leaders, business professionals, and stakeholders to work through practical examples and exercises that promote reflection and ideas exchange on AI risks and consequences.
Agenda Highlights
Introduction to Responsible AI
Explore the key challenges in adopting AI responsibly, including explainability, fairness, transparency, privacy, and other critical considerations that impact business decision-making.
Collaborative Tools and Activities
Get hands-on access to structured activities and collaborative tools that equip individuals and organisations with a holistic way of thinking and acting on responsible AI practices and approaches.
Case Study Based Learning
Work together in groups on a featured case study involving generative AI, applying responsible AI concepts to real-world business scenarios through practical exercises.
Cross-Sector Networking
Connect and share experiences with professionals from various industries who are at different stages of their AI adoption journey, fostering valuable cross-sector learning and collaboration.
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This workshop is designed for:
- AI leaders from SMEs making strategic decisions to implement AI tools and solutions in their organisations
- Business professionals from SMEs (including those involved in AI system development or adoption) and related stakeholders
- Professionals seeking to understand responsible AI practices and risk mitigation strategies
Prerequisites: There are no prerequisites to attend. We will cater to a wide audience, both from non-tech and tech backgrounds.
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Participants will benefit from:
- Responsible AI Foundation: Introduction to responsible AI concepts and the key challenges in adopting AI responsibly
- Practical Tools: Access to collaborative tools and frameworks that can be immediately applied to projects and business contexts
- Cross-Sector Learning: Sharing experiences and networking with professionals from different industries and AI adoption stages
- Continued Learning:Receive signposting to further reading and useful resources for ongoing responsible AI education
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By the end of this workshop you should:
- Understand the fundamental principles of responsible AI and key risk areas
- Have practical experience using collaborative tools for responsible AI implementation
- Know how to identify and mitigate societal and business risks of AI solutions
- Possess a shared language for discussing AI risks with both technical and non-technical stakeholders
- Be equipped with a framework to continue applying responsible AI practices in your own work
- Have established valuable professional connections across different sectors and AI adoption stages
Register here
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The Alan Turing Institute is the UK’s national institute for data science and artificial intelligence. As the delivery partner for this workshop, the Institute brings world-class expertise in responsible AI research and practical implementation. This workshop isadapted from their on-demand course “AI risks, rewards and responsibilities” and represents their commitment to making AI knowledge accessible to businesses of all sizes.