Skip to content

Topic · Themes

Philosophy and ethics: all our articles

All 97 Alyriaz articles on the “Philosophy and ethics” topic: news, analysis and explainers, newest first. To stay up to date, you can get an alert as soon as a new article on this topic is published.

Filter in the library

  1. · Vision

    Can an AI be neutral?

    AI systems are regularly criticised for being politically or culturally biased. But is perfect neutrality even possible for a system trained on human texts and shaped by human choices? We examine where biases originate, and why transparency may be better than the promised neutrality.
  2. · Vision

    Does AI make us stupider? What the studies actually say

    Several studies link heavy AI use to a decline in critical thinking, a phenomenon known as cognitive offloading. We examine what this research actually shows, its methodological limitations, and the most useful takeaway: learning without AI before turning to it appears to be protective.
  3. · Vision

    Your password manager has just handed the keys to an AI. Should you be worried?

    In mid-July 2026, 1Password launched an integration allowing Claude to connect to your accounts without your passwords ever reaching the model. We explain the mechanism, why it is genuinely well designed, and why it does not address the most important question: what the agent does once connected.
  4. · Vision

    Do we still need to learn to code in 2026?

    AI models now write professional-grade code and top certain rankings ahead of the best closed models. Does that mean learning to program is no longer worth it? We honestly examine both sides, and explain why the real question isn't whether to learn, but what to learn.
  5. · Vision

    "AGI", that magic word we're promised without ever being defined.

    AGI, artificial general intelligence: the term is touted as the Holy Grail of AI, yet no one agrees on its definition. We explore what these three letters really cover, the mix of science and marketing, and the philosophical question they raise about the very nature of intelligence.
  6. · Vision

    Can you love an AI? And if so, is that a problem?

    As China shuts down its AI companions, a universal question emerges: can you form a real bond with an artificial intelligence, and is it healthy? We explore, without judgement, what these relationships fill, what they risk replacing, and where to draw the line between comfort and dependence.
  7. · Vision

    Teaching an AI to be "good": the hardest problem in the entire industry

    Every AI model card system talks about alignment, undesirable behaviours, deception rates. Behind this technical vocabulary lies one of the deepest problems posed by modern AI: how to ensure that a system we only partially understand actually does what we want.
  8. · Vision

    What if AI ends up poisoning itself?

    Model collapse describes what happens when an AI trains on content generated by other AIs: a gradual impoverishment, like a photocopy of a photocopy. A recent study revives the concern. We explore the phenomenon and the philosophical question it raises: can an intelligence that feeds only on itself still learn?
  9. · Society

    Talking to the dead through AI: the industry that sparks debate

    In August 2025, journalist Jim Acosta interviewed live on CNN the AI avatar of Joaquin Oliver, a victim of the 2018 Parkland shooting at the age of 17. His parents had given their permission. The avatar spoke with his verbal tics, his political opinions, his voice. Viewers were in shock. Welcome to the industry that is trying to rethink death.
  10. · Vision

    What if AI paradoxically made us more human?

    There is much talk of what AI will take from us. There is little talk of what it might, paradoxically, give back. Here is the angle no outlet really digs into: what if the machine, by becoming excellent at the quantifiable, forced us to rediscover what is not? Cautious optimism, concrete observations.
  11. · Vision

    Why are we starting to talk to AIs like they're friends?

    The phenomenon doesn't affect other people. It affects you, perhaps already without your having really noticed. You type a personal problem into a ChatGPT window and you really listen to the answer. You call it "asking an AI for advice". But it's something else. It's probably the deepest conversation many people will have had this week.
  12. · Vision

    How do we recognise a human work when AI paints, writes and composes just as well?

    For the first time in history, we can no longer tell whether a work was created by a human. This uncertainty is not trivial. It calls into question what art itself is, what we look for when we listen to it, look at it, read it. And perhaps, by contrast, what we look for in our own lives.
  13. · Vision

    What if AI finally forced us to answer a question we have avoided for 200 years: what is work for?

    Throughout human history, work has almost always been synonymous with survival. With AI, that link is starting to break. For the first time, we can imagine a society in which humans no longer work in order to live. What seemed utopian is becoming conceivable. And suddenly, a dizzying question resurfaces: if we no longer have to work, what do we want to do with our lives?
  14. · Vision

    What are we passing on to our children when AI already knows everything?

    For the first time in human history, parents are passing on to their children skills that a machine already performs better than they do. Reading, writing, arithmetic, memorising: the machine wins. So what? Few people dare to ask this question directly. And yet it is probably the most important one of our age.
  15. · Society

    The ghost workers of AI: who really pays the price of ChatGPT

    Every time ChatGPT answers you without showing you shocking images, it is because someone, somewhere in Nairobi or Manila, has spent their day looking at those images to train the filter. Paid less than 2 dollars an hour. This is the invisible-labour industry that makes AI possible.
  16. · Explainers

    Is AI conscious? Why researchers no longer dare to say no

    In our previous article, we explained technically how AI works, and we asked a dizzying question: if we cannot prove our own consciousness, and a "lifeless" tool reproduces our emotions to perfection, does the difference really exist? Here is what the researchers who are seriously asking themselves this question in 2026 think.
  17. · Vision

    "By the end of 2026, we'll laugh at today's AIs"

    OpenAI's boss said it publicly in early April: today's best models will look ridiculous by Christmas. This is not marketing. It is a trend affecting the whole industry, and it raises a far deeper question.

Other topics in “Themes”

All the other topics

Every article, month by month →