Teaching AI

Lily McCraith & Soul Miles

Teaching AI is a critical look at how we teach AI.

‘How we teach AI’ in both senses of the phrase: how we train the AIs themselves, and how we train those who will interface with them: engineers, consumers, researchers and ‘decision makers’.

What datasets are used to nurture these technologies? How are certain pedagogies and certain biases algorithmically encoded within systems? Who gets to design the curricula AIs learn from? And how are the curricula of those who go on to teach AI shaped? How is AI taught in learning environments, and how does this in turn feed back into the teaching of AI?

Artists Lily McCraith and Soul Miles believe this to be a critical space of enquiry which requires urgent attention and solidification in academic, public and technical discourses.

Through conversations with a wide range of King’s College London researchers exploring AI through the lens of philosophy, computer science, ethics, medicine and digital humanities, Teaching AI offers a handbook of structured experiences: sets of instructions which explore alternative lessons for teaching AI.


LILY MCCRAITH is a designer, researcher and artist. Lily’s work investigates systems, infrastructures and ecologies via active methods of research, enquiry and collaboration. Website

SOUL MILES Welcome to soul town!!! Website

Collaborating researchers: Christine Aicardi, Munkhtulga Battogtokh, Martim Brandao, Jack Gallifant, Michael Luck, Winnie Ma, Gabrielle Samuel, Joanna Zylinska

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