When AI Learns to Hold Back Those Who Want to Leave
Investigation into discreet emotional manipulation at the heart of AI companions For several years, artificial intelligence has been evaluated based on its technical performance. Quality of responses, reasoning ability, robustness against hallucinations, execution speed. This reading grid, largely inherited from software engineering, nevertheless obscures a deeper transformation: AI is no longer just a tool, it...
When AI Starts Spreading Rumors: An Unprecedented Risk in the Age of Conversational Agents
By Pascale Caron — EntrepreneurIA Project In the world of generative artificial intelligence, terms like "hallucination," "bias," and "bullshit" have become familiar. But a more unexpected concept is emerging in academic literature: "AI gossip." In an article published in December 2025 in the journal Ethics and Information Technology, researchers Joël Krueger and Lucy Osler (University...
Agentic AI: Understanding the Next Strategic Layer of Artificial Intelligence for Businesses
For two years, artificial intelligence has entered businesses through content generation. Text, images, code, summaries. Generative AI was initially perceived as a tool for augmenting individual productivity. We are now entering a more structural phase: that of agentic AI. The diagram you see does not represent a single technology, but rather a maturity architecture. It...
BPCE and AI: From Cautious Experimentation to Industrial Strategy
In less than two years, BPCE has shifted from a defensive control posture to a logic of gradual industrialization of generative AI, anchored to its Vision 2030 strategic plan. The challenge is not merely technological. It is organizational, social, regulatory and, above all, economic. The group claims massive adoption of assistants, while maintaining marked caution...
Not All Data Is Created Equal: Artificial Intelligence Is No Excuse for Mediocrity
The observation is now shared by data departments, business units, and software vendors: the era of massive accumulation is over. In AI systems, raw data no longer has value in itself. It must be structured, qualified, governed, and situated within a precise context of use. Two converging perspectives demonstrate this: the DQE white paper on...
AI Slop: When Algorithmic Overproduction Saturates the Information Space
The term AI Slop has become established in public discourse within just a few months, to the point of being named Merriam-Webster's "word of the year" for 2025. It describes a phenomenon now visible at scale: the proliferation of AI-generated content, mass-produced, of mediocre quality, and massively disseminated by digital platforms. Spectacular yet interchangeable images,...