Tag: <span>BIAISES</span>

Biases in AI are a disturbing reflection of our humanity

Biases in AI are a disturbing reflection of our humanity

💡 What if AI biases were nothing more than our own… amplified?

Algorithms have no morals or intentions. But they learn from us. From our data. From our past decisions. And sometimes—without us even realizing it—they inherit our deepest prejudices.

In this excerpt, I invite you to dive into a cartography of our digital missteps: a journey through the invisible biases that quietly shape machine decisions… and already influence our lives. Hiring, credit, justice, healthcare—no sector is spared.

🔍 Whether it’s historical bias, representation gaps, or blind trust in automation, each algorithmic distortion acts like a funhouse mirror reflecting our society. This isn’t just a technical issue—it’s a matter of conscience.

And maybe, to build fairer AI, we first need to take a better look at ourselves.

Read MoreBiases in AI are a disturbing reflection of our humanity

CERISE & ADA

AI BIAISES ETHICS

AI, the new dealer of Escapism

AI, the new dealer of Escapism

In a world where our smartphones understand us better than our loved ones, where our virtual assistants listen without ever yawning from boredom, a new form of escape has been born.

When applications promise us “a girlfriend who understands you perfectly, without the complications of real life” for $200 per month, isn’t it time to question what we’re really trying to escape from?

From digital infidelity to virtual hugs, let’s explore together this troubling frontier where our creations become our favorite creatures… and where we risk becoming machines ourselves through interacting with them.

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OPINION COLUMN

AI BIAISES ETHICS HUMOR PARADOX

Generative AI or the illusory alchemy of digital free access

Generative AI or the illusory alchemy of digital free access

Since the dawn of humanity, we have pursued the Promethean dream of creating in our own image. From Vaucanson’s automatons to Pascal’s mechanical calculators, this quest has shaped our civilization. But never, until now, had the boundary between human creation and artificial generation been so delicately blurred.

ChatGPT, Claude, Midjourney, DeepSeek, Perplexity have become the new deities of a technological pantheon where creation seems liberated from human expertise. Text, image, melody: everything now merely awaits our desire, materialized in a few clicks, to transform us into artists with a simple snap of the fingers, without the shadow of a transaction.

Read MoreGenerative AI or the illusory alchemy of digital free access

OPINION

AI BIAISES COST ETHICS

Between belief and trust, AI as an existential revealer

Between belief and trust, AI as an existential revealer

We oscillate between fascination and distrust when it comes to AI. On one side, the enthusiasts who see it as an inevitable revolution. On the other, the skeptics who remind us that “AI won’t bake the bread.”

But are we asking the right question? 🤔
In creating artificial intelligence, what are we truly searching for? A tool to surpass ourselves… or a mirror reflecting our own limitations?

When children prefer to ask AI for help rather than their peers because “it won’t mock them,” it makes us think.
What if, paradoxically, AI is revealing what we have lost in our own humanity?

Artificial Intelligence or Augmented Intelligence: What future do we really want?

Read MoreBetween belief and trust, AI as an existential revealer

OPINION COLUMN

AI BIAISES DEMOCRACY HUMOR PARADOX

How machine learning enables machines to learn from data

How machine learning enables machines to learn from data

Imagine each piece of music as a unique constellation of stars… and each interaction as an observation that unveils your preferences.

In a conversation between Cerise and Ada, artificial intelligence becomes a fascinating mirror of our own thought processes. From facial recognition to personalized medical care, machine learning is transforming our world while raising deeply human questions.

✨ How do these algorithms move from raw data to an almost intuitive understanding? What challenges and ethical responsibilities come with this revolution?

Read MoreHow machine learning enables machines to learn from data

CERISE & ADA

AI BIAISES MACHINE LEARNING SUPERVISED LEARNING UNSUPERVIDED LEARNING