Category: <span>CERISE & ADA</span>

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

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

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