Hello there,
I hope you’re well and I thank you for your trust and interest in episcope.
A few weeks ago, I started a public repository that curates academic papers, studies and perspectives on what AI is doing to our minds, our teams and our relationship to work. Since launch, I have added nine pieces (listed below), so there are now 23 references in total.
My next step: starting to connect the dots across these papers and publish a cross-cutting content piece once in a while, rather than only stacking references. Before I do, I would value your perspective on two short questions:
Which angle would you most want to read more about? In which format?
What feels already mainstream on this topic and is not worth dwelling on?
Even a one-line reply would help me calibrate what comes next.
Thank you in advance.
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As a token of appreciation, an overview of the 9 new pieces in the repository:
The extended hollowed mind: why foundational knowledge is indispensable in the age of AI (December 2025) Why? It names the “sovereignty trap”, the moment we mistake AI’s competence for our own.
The Impact of AI on Developer Productivity: Evidence from GitHub Copilot (February 2023). Why? The canonical +55.8% speed-up figure, useful to know in order to put it back in context.
Navigating the Jagged Technological Frontier (working paper September 2023, published in Organization Science November 2025) Why: The “jagged frontier” explains why aggregate numbers mislead, since the gain depends entirely on the nature of the task.
The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise (March 2025) Why? The first solid evidence that AI also fills the social and motivational role of a human teammate.
The Psychological Costs of Adopting AI (May 2026). Why? The “psychological debt” and its six negative effects reframe AI resistance as rational, not stubborn.
Pedagogical Partnerships with Generative AI in Higher Education (March 2026) Why? It maps the U-shape between cognitive offloading and learning, and shows how a thoughtful use of AI can deepen understanding.
From Technical Debt to Cognitive and Intent Debt (March 2026) Why? It extends technical debt to the human and intent layers, with a model to detect AI-induced erosion.
The Homogenizing Effect of Large Language Models on Human Expression and Thought (August 2025, published in Trends in Cognitive Sciences March 2026) Why? It documents the flattening of linguistic and cognitive diversity at a population scale.
4E Cognition and the Coevolution of Human-AI Interaction (2024) Why? This paper offers a philosophical frame (embodied, embedded, extended, enactive cognition) to think about hallucination as a design constraint.
Curiously yours,
Margaux (margaux@episcope.io)