Tag: <span>AI</span>

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

Reskilling: how to adapt to the AI era

Reskilling: how to adapt to the AI era

Artificial intelligence is reshaping jobs at an unprecedented pace. According to the OECD, 32% of current jobs will undergo major transformations, while 14% will be entirely redefined by 2030. In this fast-changing landscape, one key question arises: how can we navigate this shift instead of being overwhelmed by it?

🚀 Three key strategies stand out:

✔️ Reskilling – Acquiring entirely new skills to transition into a different career
✔️ Upskilling – Expanding current expertise to stay relevant in a shifting market
✔️ Cross-skilling – Combining skills from different fields to create innovative career paths

Rather than a challenge, this transformation is an opportunity to redefine our relationship with work, placing human creativity and adaptability at the center of AI-human collaboration.

👉 How do you see this transition? What skills do you plan to develop to stay ahead of technological changes?

Read MoreReskilling: how to adapt to the AI era

CERISE & ADA

AI JOBS

Artificial Intelligence, ethics and healthcare — A revolution to balance

Artificial Intelligence, ethics and healthcare — A revolution to balance

Artificial intelligence is profoundly transforming the medical field, enabling more accurate diagnoses, personalized treatments, and support for overwhelmed doctors. But this progress also raises major questions: How can we preserve the doctor-patient relationship? Who is responsible in case of an error? How can we ensure data protection and algorithmic fairness?

In my latest article, I explore the promises and limitations of AI in healthcare. Between technological hope and ethical necessity, we must find a balance to ensure these tools remain human-centered.

🤖🩺 Should AI be a simple assistant, or could it redefine our approach to healthcare?
I’d love to hear your thoughts!

Read MoreArtificial Intelligence, ethics and healthcare — A revolution to balance

OPINION

AI ETHICS HEALTH

AI and Big Data to (re)build a more human healthcare system

AI and Big Data to (re)build a more human healthcare system

One-third of the French population lives in medical deserts. The life expectancy gap between a worker and an executive remains seven years. Our healthcare system, once a global benchmark, is under immense pressure. But what if AI and Big Data could change the game?

Far from replacing doctors, these technologies offer real solutions:
✅ Optimizing hospital workflows: shorter wait times, more time for care.
✅ Improving access to healthcare: AI-assisted diagnosis, remote monitoring, support for isolated practitioners.
✅ Predicting and preventing diseases: early risk detection, personalized treatments.
✅ Accelerating research: faster drug discovery, more efficient clinical trials.

But here’s the real question: How do we integrate these innovations without losing the essence of human care? AI must be an ally, not a substitute. It will never replace the intuition and empathy of healthcare professionals.

Ethics and transparency must guide us. If we respect these principles, we have a unique opportunity to build a more accessible, fair, and human-centric healthcare system.

Read MoreAI and Big Data to (re)build a more human healthcare system

CERISE & ADA

AI ETHICS HEALTH MEDECINE

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