ConnectedMinds
Menu

Humans and Intelligent Machines

Rethinking engineering organizations in the age of AI.

Freya Gnam &
Pierre-Alexandre Bourbon

Artificial intelligence is changing how we work, and this change has only begun. As machines become more capable, they also raise philosophical questions about the relationship between humans and machines, and ultimately about what it means to be human.

Explore the articles

The blog

Thinking it through.

All articles

Communication & AI

Communication Beyond Words

From human language to agent collaboration: what changes when communication moves beyond words?

↗

Science & models

What Is Physical Truth?

AI, the Navier–Stokes problem and the limits of mathematical models.

↗

Looking ahead

What changes
when AI advances?

Much of the discussion about AI focuses on what today’s systems can and cannot do. We are interested in what follows if those capabilities continue to advance.

In many jobs, like in engineering for example, that leads to questions that go beyond automating individual tasks.

  1. What is the role of the human engineer when machines can perform more of the technical work?
  2. How do we create experienced engineers if AI takes over some of the work through which people traditionally learn?
  3. What happens when engineering knowledge itself becomes computational and can be applied repeatedly, tested against the physical world and improved?

About this blog

Two perspectives.
A shared inquiry.

And if AI changes how knowledge is created and how work is performed, we may eventually need to reconsider the organisations built around that work. Many of today’s structures reflect human constraints: expertise is scarce, attention is limited and coordination is expensive. AI may change some of those constraints.

These are some of the questions we explore in this blog.

How we write

The perspectives and questions are our own. We use AI to research, challenge and develop our ideas and to help turn them into articles. The blog is therefore also an experiment in the kind of human–AI collaboration it seeks to understand.