AI & the Human in the Loop

​🧩 How can we ensure we keep human judgement, reflection, and decision-making at the centre of our work whilst using AI?

​Join us for a relaxed, practice-oriented evening exploring what human-centred AI adoption can look like across work, learning and collaborative processes.

​The event is part of our ELAI project, an Erasmus+ funded initiative working to bridge the gap between the availability of AI tools and their practical use in vocational education and training. The project focuses on three key pillars: supporting digital transformation by integrating AI into competency mapping; advancing the green transition by promoting sustainability skills; and creating more inclusive learning pathways by tailoring education to individual needs.

​What to expect

​🎤 Guest perspective
A practical and thought-provoking perspective on responsible AI adoption, human judgement and keeping people meaningfully in the loop.

​💡 TCO case: ELAI × N-GREEN
See how TCO adapted the ELAI approach of treating AI as a “critical colleague” during the N-GREEN Sustainability-focused hackathon, with a concrete example of human-in-the-loop working in practice.

​💬 Guided conversation & networking
Exchange experiences and perspectives with other professionals through facilitated conversations around AI delegation, human judgement, adoption and education.

​🌱 ELAI resources & feedback
Discover resources from the ELAI project and share where you could see these approaches being applied or adapted in your own work.

​Who is this for?

​The event is open to anyone interested in practical and human-centred ways of working with AI, including:

• ​Educators, trainers and VET professionals

• ​NGO and programme staff

• ​Facilitators and project managers

• ​Sustainability and innovation professionals

• ​Learning & development and HR professionals

• ​Entrepreneurs and people working in organisational or digital transformation

• ​Anyone curious about how AI can support, rather than replace, human thinking and decision-making

​No specialist AI or education background is required. The focus is on practical experiences, discussion and exchange rather than technical knowledge.