David Eliot AI researcher black and white author portriat

David Eliot is an academic, author, and researcher

His work focuses on the effects of AI on society

As read in…

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David was raised in Kingston Ontario, and started his academic journey at St Francis Xavier University

While at StFX David discovered a passion and talent for researching the intersection of technology and society. It was at this time, after seeing a demo of GPT-2, that he first started working on AI. Since then, his AI research has taken him around the world, and garnered recognition from major academics, policy makers, and business leaders.

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Artificially Intelligent:

The Very Human Story of AI

Coming to book stores this Fall, Artificially Intelligent, David Eliot’s first book, places humans at the center of AI’s story, making a compelling case for the role we have yet to play in technology’s transformation of our world.

“I am not scared of the technology itself. But I do fear the path we are following”

-David Eliot, author of Artificially Intelligent

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Pierre Elliott Trudeau Foundation 2022 Scolar

In 2022 David was one of 13 scholars selected to recive the PETF PhD Scolarship. The award is widly considered to be Canadas premier PhD award for the social sciences and humanities. David Was chosen for his work regarding the Foundations 2022 “Scientific Reserch Cycle” Global Economies

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Recent Articles

Google and Microsoft are creating a monopoly on coding in plain language

Written and published before the launch of Chat-GPT, David Murakami Wood and I explore potential effects of generative AI on the coding industry

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An Inquiry into the Production of Data and How it Creates Value

This text (Prepared for the IARIW-CIGI Conference on The Valuation of Data) asks foundational questions about data, and its origins of production, in order to construct a new model to understand operationally how data is created and commoditized to create value.

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The Noxious Datafication of the Housing Market

Alongside housing scholar Alexandre Petitclerc, I examine how datafication of housing in Canada and the United States has contributed to growing inequities within the housing market.