Digital Cognition


Research and practice focused on preventing us from becoming The Last Learning Generation.


Why it matters

You finish an extensive analysis with AI and end up with a beautifully crafted report. Could you explain the reasoning with the chat window closed?

AI loves to help us work through a difficult problem. But it usually delivers all the answers before we have done much thinking ourselves. So, which parts of that effort were helping us learn? And would we be able to replicate it all ourselves?

Digital Cognition explores how using AI affects the quality of human learning and thinking. It connects research with practical ways of working and learning with AI, examining what we can delegate and where our own cognitive effort should (but more and more often does not) remain essential.

Layers of Digital Cognition

01

Learning and Knowledge in Digital Environments

How AI affects learning quality, from understanding an explanation to applying knowledge independently.

02

Cognitive Effects of Digital Systems

What happens to human thinking when AI takes over big chunks of the cognitive effort.

03

AI “Cognition” and Its Limits

Where so-called AI reasoning breaks down, even when its answers sound convincing and surprisingly expert.

04

AI in Customer and User Decisions

How LLMs are able to design entire customer journeys and influence choices that very much involve our wallets.


Author and Founder

Michał Moneta

Michał Moneta, PhD

The quality of human learning and thinking in the age of AI

Researcher and consultant, Assistant Professor at SWPS University, and business trainer. He develops the field of Digital Cognition, combining behavioral economics, artificial intelligence, and marketing expertise to help individuals and organizations design cognitively safe ways of working and learning with AI, limit harmful cognitive offloading, and preserve productive cognitive friction.

More info

More coming soon.