This episode was sparked by a newsletter.

When Elina’s Artificial Thought landed in my inbox, it immediately lit a fire under a question I’d been sitting with: Where does AI fit in behaviour change work? I invited Elina onto BrainFuel — and this episode is where the conversation began.

Together, we dive into the emerging relationship between behavioural science and artificial intelligence — not as hype, but as a thoughtful, grounded exploration of where we go from here.

One of the biggest themes? Bias. And Spaniels.
We explore how:

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  AI tools like ChatGPT, Claude, and others inherit human bias, baked into training data and system design

  
  


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  Behavioural science has its own blind spots, often shaped by the same cultural assumptions and power dynamics

  
  


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  And why it’s not enough to be evidence-based — we have to stay curious, critical, and open to new ways of thinking

  
  

Elina said something that stayed with me:

"Behavioural science is all about looking for a problem to solve—even if that search sometimes leads us to frame challenges in ways that mirror our own biases."

We also discuss how we’re using AI in our day-to-day work:

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  ChatGPT and Claude as brainstorming buddies and thinking partners

  
  


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  AI for creative workflows (like these show notes!)

  
  


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  But never in analysis or insight work, where data sensitivity and confidentiality come first

  
  

   In this episode:

  
  

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  The risks and responsibilities of integrating AI into behaviour change

  
  


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  How bias shows up in both datasets and frameworks

  
  


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  The practical limits of AI in public health work

  
  


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  Why we need more human judgment, not less

  
  

👉 If you do one thing - check Elina's newsletter Artificial Thought