The AI Hopes and Fears Lab @ The Copper Kettle Cafe
The noise around Artificial Intelligence is fast approaching a deafening (and often contradictory) roar. So how do we cut through all the chatter and create …
The AI Hopes and Fears Lab: The People’s Panel on AI
The Hopes and Fears Lab, our flagship engagement project, went on tour in October and November 2023 to Parker’s Piece in Cambridge, and then on …
The Hopes and Fears Lab on Double Decker Buses
Have you ever wandered through the park on your way to work and spotted two vintage double decker buses improbably parked on the greenery? That’s …
The Hopes and Fears Lab: Iftar Edition
There’s something special, and calming, about good conversation over a good meal. This is even truer for the Islamic community during the holy month of …
The Hopes And Fears Lab: Paper in JCOM
We are very excited to announce that The Hopes and Fears Lab, our flagship engagement project, has been written up in an academic journal for …
The Collaborative Futures Academy: Mariam’s takeaways
Emotion is too often treated as a taboo in academic circles. Objectivity, and complete divorce from anything which could cloud one’s golden impartiality, is often …
Only Human project launch: Liming with Gran
The majority of the British public feel that scientists should listen more to what ordinary people think. We agree with them. And we research how …
Emotions in Engagement Toolkit
Hope, fear, frustration,curiosity… Emotions are everywhere when we bring together publics and communities with research. How can we navigate and manage these emotional experiences? and …
Synthetic Data & Healthcare: Ethics Q&A Part 2/2
Ethical considerations on synthetic data in everyday machine learning research for healthcare. My hope is that synthetic data will significantly enhance machine learning models by …
Synthetic Data & Healthcare: Ethics Q&A Part 1/2
Ethical considerations on synthetic data in everyday machine learning research for healthcare. My hope is that synthetic data will significantly enhance machine learning models by …