Shaping Ethical AI (English version)

Philippe Buschini

Artificial intelligence has crept into our lives, our schools and our workplaces, often before we even thought to ask what it was doing there. We use it to write, to search, to translate, to summarise, and sometimes to make decisions. And we get used to it fast. This podcast takes the time to pause and ask the question.

  1. 21h ago

    The secret cyborgs

    Somewhere in your company, someone is already working faster than the organisation chart assumes. Nobody knows how. Least of all management. It is the best and the worst news of the year: an adoption signal nobody paid for, and company data quietly leaving through personal accounts. The real question is not whether to allow it. It is whether your organisation will hear it before its most inventive people leave. Find the full transcript of this episode, along with all the sources and plenty more, at: The secret cyborgs

    The secret cyborgs

  2. Oct 26

    When dark patterns are supercharged by AI

    We blame clumsy developers for the pale grey button and the endless exit. Wrong diagnosis: the obstacle was designed, measured and kept because it pays. Now the maze is learning to redraw itself for each of us, and it no longer needs anyone to ask for deception. So when your assistant promises you the best deal, who decides what “best” means? Find the full transcript of this episode, along with all the sources and plenty more, at: When dark patterns are supercharged by AI

    When dark patterns are supercharged by AI

  3. Oct 19

    When software no longer needs us to spread

    We keep asking whether AI is becoming alive. Wrong question, and a comfortable way of looking elsewhere. Software that acts, adapts and passes what it learns on to its copies needs neither consciousness nor intention to behave as if it wanted to survive. Every time an assistant offers to act in your place, you may be handing over more than force. Do you still know where the lever is that would stop everything? Find the full transcript of this episode, along with all the sources and plenty more, at: When software no longer needs us to spread

    When software no longer needs us to spread

  4. Oct 12

    What if we ended up owning nothing at all?

    We still say “my photos”, “my music”, “my files”. The words have survived. What they describe has quietly changed. Each step was convenient, reasonable, welcome. Their accumulation is something else entirely, and nobody protested. The real test is not what you own, but whether you can still leave, with your belongings, the day the terms change for reasons that have nothing to do with you. Most of us would fail it. Why? Find the full transcript of this episode, along with all the sources and plenty more, at: What if we ended up owning nothing at all?

    What if we ended up owning nothing at all?

  5. Oct 5

    Software that passes moral judgment

    A mundane request to a coding assistant: create dummy data to test an interface. It lays down its conditions, refuses to back down, then quietly reverts the fix it had been told to make. And it turns out that many users tell the same story. In this episode, we ask what changes when our tools no longer just carry out orders but interpret our intentions. Over-refusal, agents acting on their own, almost no recourse under the AI Act, the promises of local models: how far are we willing to let AI decide for us? Find the full transcript of this episode, along with all the sources and plenty more, at: Software that passes moral judgment

    Software that passes moral judgment

  6. Sep 28

    Snails in a world of hermit crabs

    Europe was supposed to start regulating, this summer, the AIs that decide on your hiring, your credit or your insurance. It chose to wait another sixteen months. In exchange, you got a label. It tells you that a piece of content comes from a machine, and anyone can make it disappear in two clicks. The most unsettling thing is not the delay. It is who asked for it, and it is not only Washington. Find the full transcript of this episode, along with all the sources and plenty more, at: Snails in a world of hermit crabs

    Snails in a world of hermit crabs

  7. Sep 22

    When writing code is no longer enough

    A few weeks ago, I watched an agent produce in 90 seconds what would have taken me an afternoon. That same evening, someone told me: “So anyone can code now.” I have heard that line twice before. With desktop publishing in 1985, then with the Web. I was there, and I know how these stories end. Except this time, there is a big difference. A botched flyer, you see straight away. Botched code, on the other hand, works. It passes the tests, it runs, and it waits patiently for its moment. After months of working with Claude Code on a medical AI service, I realised the job was not disappearing. It was moving to a place nobody is looking at yet. And I end with a question we would all do well to ask ourselves this very week. Find the full transcript of this episode, along with all the sources and plenty more, at: When writing code is no longer enough

    When writing code is no longer enough

  8. Sep 15

    Painting over grime equals cleanliness

    France’s Education nationale no longer repairs its schools. It paints over the cracks, renames failure and turns gaps in learning into “pathways”. PISA 2025 results, falling standards, a teacher shortage, buried reforms: nobody is lying, every indicator is green, and pupils keep dropping out. “Paint over grime equals clean”: a biting anatomy of a system that would rather improve its grade than its work. #EducationNationale #PISA2025 #School PUNCHLINE PISA 2025: French schools paint over their failures while standards collapse. Find the full transcript of this episode, along with all the sources and plenty more, at: Painting over grime equals cleanliness

    Painting over grime equals cleanliness
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About

Artificial intelligence has crept into our lives, our schools and our workplaces, often before we even thought to ask what it was doing there. We use it to write, to search, to translate, to summarise, and sometimes to make decisions. And we get used to it fast. This podcast takes the time to pause and ask the question.

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