Artificial intelligence provides a profound shift in how we understand ourselves. Algorithms generate new maps for how we make sense of the world. We are reproducing ourselves through technology, creating tools which reflect our own image — augmenting our realities through big data software, global interconnectivity, and global consciousness. We have given our cognitive biases, values, and misunderstanding over to math-powered applications that increasingly manage our lives. This changes our stories. [Continue reading]

I am not a Machine Learning coder. I think about AI as a social phenomena rather than a technical one, and see algorithms as a means to reflect on ourselves and how we make sense of the world. Humans have long been trying to reproduce themselves and create consciousness in machines, which leads to one of the most existential questions — what makes a self? Algorithms reveal what we value, our cognitive biases, and which voices we hear from most often, frequently at the exclusion of others. This is especially crucial to understand at a time when our physical, social, political and economic worlds rely on a growing number of collaborative systems between humans and machines. [Continue reading]

Presenting a WIP

Marrow, Montreal, Canada.

MIT Open Documentary Lab

(December + April 2018)

A talk about the possibility of mental illness in AI