Philippe Buschini Posts

AI autophagy, when AI feeds on itself

AI autophagy, when AI feeds on itself

What if artificial intelligence was slowly drifting away from reality by feeding on… itself? This is the alarming paradox of data autophagy: when AI models reuse their own outputs, they create a vicious cycle.

🔄 The consequences?
📉 A gradual loss of diversity and nuance
📉 A “copy of a copy” effect that degrades quality
📉 Search engines increasingly filled with synthetic content

With 90% of online content potentially AI-generated by 2026, how can we prevent a massive informational collapse?

🔬 Solutions exist:
✔️ Diversifying data sources to avoid algorithmic inbreeding
✔️ Developing self-correcting mechanisms to preserve creativity
✔️ Striking the right balance between artificial intelligence and human intervention

💡 Can we still control the evolution of AI models? More importantly, how do we stop AI from running in circles?

Read MoreAI autophagy, when AI feeds on itself

CERISE & ADA

AI DATA QUALITY

From the Attention Economy… to the Intention Economy

From the Attention Economy… to the Intention Economy

For decades, the dominant model of the internet has been the attention economy—grabbing our gaze, maximizing screen time, and turning every second into advertising revenue. But a profound shift is underway. Artificial intelligence is no longer just capturing our attention; it is anticipating and shaping our intentions.

Every choice we make—a movie, a purchase, a restaurant—is now influenced by an invisible ecosystem of algorithms, predictive models, and real-time auction markets.

So, where does assistance end and manipulation begin? Is our free will being rewritten by lines of code? The intention economy unlocks immense opportunities but also raises fundamental ethical questions.

It’s time to challenge this new reality. Are your decisions still truly yours?

Read MoreFrom the Attention Economy… to the Intention Economy

CERISE & ADA

AI MARKETING

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