Overview
Dario’s AI Fellowship focuses on integrating AI tools into Behavioural Science teaching now, while also shaping future curriculum options that connect AI, technology and behavioural science.
Key work and evidence
AI-powered behavioural intervention agents
Dario developed teaching materials that enable students to design AI-driven behavioural intervention agents – systems that can converse with users, identify behavioural barriers, and provide behaviourally informed support.
Delivered through a visual workflow platform (n8n), students build and test agents in seminars via a chat interface.
Feedback has been positive – especially the value of building their own agents – and the approach is now being extended from the full-time MSc to the Executive MSc.
AI-simulated research participants
Students also use AI-generated “synthetic participants” to test research ideas through structured prompting before running studies with real participants – supporting faster experimentation while reinforcing strong research design.
Exploring future programme development
Dario has worked with his department and LSE colleagues to explore options for expanding AI teaching capacity, including a dedicated AI/technology/behavioural science stream within an existing programme, building on demand emerging from current courses.
Early learning and impact
- Faster-than-expected delivery: Building the agentic intervention materials took effort, but was completed earlier than anticipated.
- Strong student engagement: Interactive AI-based simulations were integrated into lectures to demystify how tools like ChatGPT work; these activities were particularly well received.
- More interactivity without major investment: AI enabled hands-on seminar activity previously hard to deliver; student engagement increased and course evaluations were very positive.