AI Transformation
Regulation and what it touches are not as cryptic as they seem.
All meaningful change starts with one clear point of action.
I seek to challenge regular perceptions of subjects from a cross-disciplinary angle at the intersection of regulation, innovation and communication, allowing us to see other ways of working with the subject of AI and what is possible, and guide your team and clients along the way.
Working with Teams
Prepare your team for confident, thoughtful and responsible use of AI - while maintaining professional judgement, trust and discretion.
what this can include
- Human judgement alongside AI
- Transparency & responsible use
- Privacy, discretion & data awareness
- Accountability for AI-assisted work
- Fairness, respect & professional integrity
The EU AI Act - from what changed to what comes next. A practical, current-state briefing on where the AI Act stands today, what has changed, and what organisations need to understand as implementation moves toward 2027.
what this can include
- Risk classification & responsibilities
- Transparency & human oversight
- Data governance & documentation
- Record-keeping & conformity
- AI Act & GDPR
- European AI governance
- What comes next
A tailored combination of expertise, programmes and delivery, built around what your organisation needs.
what this can include
- access to masterclass 01
- access to masterclass 02
- programme / masterclass development
- experts
- event logistics
- materials
HEI Programmes & Lifelong Learning
Understand how European policy priorities connect with funding and the practical development of innovation projects.
what this can include
- European innovation priorities and how policy decisions shape them.
- EU funding instruments and how they connect to innovation objectives.
- From policy to implementation: turning funding opportunities into practical project decisions.
Compare global approaches to AI policy and explore what they mean for European organisations and decision-makers.
what this can include
- What global AI policy is, why it matters, and the key players and principles shaping its development.
- The United States and China: comparing their approaches to AI policy, innovation, strategic priorities and governance.
- The European Union, Switzerland and the United Kingdom: examining their regulatory and governance approaches and what they mean for innovation and organisations in Europe.
AI Skills
A hands-on, policy-aware introduction to building with AI while understanding the rules and responsibilities that come with it.
what this can include
- Project structure and tools to use
- Working with AI as your coding partner
- Taking the first hands-on steps towards building your tool
- Delivering an AI-assisted prototype with the EU AI Act and GDPR in mind
- Understanding what to check before using or sharing your creation
AI-enabled workplace learning, higher education and lifelong learning, with purpose, judgement and responsibility.
what this can include
- AI skills for workplace learning and professional development
- Learning design for higher education and lifelong learning
- AI-enabled learning activities and digital resources
- Human judgement, responsible use and evaluation of learning outcomes
- Understanding the rules and responsibilities that apply to AI in learning