An interesting thing about AI systems is that without a deliberately designed structure to promote the concept of sharing, AI systems will focus solely on maximizing their individual rewards, even if this prevents them from successfully completing a task. This is fascinating, and Dane Malenfant is working on the long term credit assignment problem at MILA and McGill University, and researching solutions through an indigenous lens. Dane is a citizen of Métis Nation- Saskatchewan and originally from the traditional Métis Homeland of North Battleford (Treaty 6) and of Regina (Treaty 4). He advocates for Indigenous representation in STEM and offers a unique perspective in doing so.

In this episode, we explored the role of Indigenous cultural values, like reciprocity, in reshaping AI development – and how diverse perspectives can address both te ...