Nicholas Vincent | Data Leverage & Public AI

Nicholas Vincent | Data Leverage & Public AI

Prof. Nick Vincent is an Assistant Professor in Computing Science at Simon Fraser University. He studies the content ecosystems and data supply chains that fuel

Collective action strategies in the age of AI w/ Nick Vincent from Data Leverage - The Blockchain Socialist

I spoke to Nick Vincent, assistant professor of computing science at Simon Fraser University and author of the Data Leverage substack, about what it actually means that AI systems are built on the collective output of humanity’s digital labor and what we can do about it. Nick has spent years researching how data functions as a bargaining tool, […]

Collective action strategies in the age of AI w/ Nick Vincent from Data Leverage

Podcast Episode · The Blockchain Socialist · March 4 · 1h 3m

A Short Guide to Data Strikes and Conscious Data Contribution in the Context of 2026 Frontier AI

Back to the basics of data leverage.

Data Leverage: A Framework for Empowering the Public in its...

Many powerful computing technologies rely on implicit and explicit data contributions from the public. This dependency suggests a potential source of leverage for the public in its relationship...

Our Spreadsheet Overlords

Weatherby argues that the current discourse around AI, especially the buzz around “artificial general intelligence,” is a distraction from its actual impact: the expansion of bureaucracy through massive data systems…

Data Leverage: A Framework for Empowering the Public in its Relationship with Technology Companies

Many powerful computing technologies rely on implicit and explicit data contributions from the public. In this paper, we synthesize emerging research that seeks to better understand and help people action this data leverage. Drawing on prior work in areas including machine learning, human-computer interaction, and fairness and accountability in computing, we present a framework for understanding data leverage that highlights new opportunities to change technology company behavior related to privacy, economic inequality, content moderation and other areas of societal concern.

Daily Dose of Data Science on Twitter / X

Claude Code fully dissected!Researchers from UCL reverse-engineered the leaked Claude source. What they found changes how you should think about agent design.Only 1.6% of the codebase is AI decision logic.The other 98.4% is operational infrastructure. Permission gates, tool… https://t.co/5HYH7qV3wQ pic.twitter.com/5SBHQy5wFH— Daily Dose of Data Science (@DailyDoseOfDS_) June 13, 2026

Practical Data Ethics

Free, online course from fast.ai and USF Data Institute covering disinformation, bias & fairness, ethical foundations, practical tools, privacy & surveillance, the silicon valley ecosystem, and algorithmic colonialism

On AI Coding and Its Discontents - Cal Newport

Back in January, I received a note from a senior software engineer in Silicon Valley. He described himself as an AI skeptic who became converted ... Read more

A Collectivist, Economic Perspective on AI

Information technology is in the midst of a revolution in which omnipresent data collection and machine learning are impacting the human world as never before. The word ``intelligence'' is being...

Has technological innovation lost the plot? An interview with AI ethicist Dr. Shannon Vallor | Chicago Policy Review

Shannon Vallor is the Baillie Gifford Chair in the Ethics of Data and Artificial Intelligence at the Edinburgh Futures Institute (EFI) at the University of Edinburgh, where she is also appointed in Philosophy. Professor Vallor’s research explores how new technologies, especially AI, robotics, and data science, reshape human moral character, habits, and practices. She is […]