AI Pitfalls: Bias, Hallucinations, and Managerial Implications
Bias, Hallucinations, and Managerial Implications of AI Artificial intelligence, while innovative and promising, has significant limitations that raise ethical, operational, and managerial questions. Among the main challenges are cognitive biases, hallucinations, and organizational impacts related to its adoption. Biases in AI reflect the imperfections of the data and algorithms that process them. Confirmation bias, for...
AI Entrepreneur Marco Landi: A Career at the Crossroads of Global Tech and Humanistic Artificial Intelligence
The journey of Marco Landi, a trained engineer and major figure in the global technology industry, illustrates the evolution of challenges related to innovation, global leadership, and ethical artificial intelligence (AI). Marco Landi began with an international career in telecommunications and electronics, before experiencing a remarkable rise at Apple. Today, he embodies committed leadership, driven...
Europe Facing Generative AI: Towards Informed Technological Sovereignty
A Systemic Technological Revolution Generative artificial intelligence (GenAI) is no longer a futuristic promise. It is fundamentally reshaping value chains, knowledge production logics, and social interactions. The "Generative AI Outlook Report," published by the Joint Research Centre (JRC) of the European Commission in 2025, emphasizes this. "This is not merely a software advancement, but a...
EntrepreneurIA: What the Use of Artificial Intelligence Among French Business Leaders Really Reveals
Article written by Pascale Caron for #EntrepreneurIA AI is transforming entrepreneurial discourse, but is it truly transforming businesses? This is the question the book L'EntrepreneurIA — Conseils d'entrepreneurs (EntrepreneurIA — Advice from Entrepreneurs), co-written by Pascale Caron and Yves-Marie Le Bay and published by Ovadia, attempts to answer. Unlike publications that theorize the impact of...
The Turning Point for Responsible AI: When Governance Becomes a Lever for Innovation
Behind the explosion of use cases related to artificial intelligence, a paradox is emerging. While AI's promises multiply—increased productivity, large-scale personalization, new frontiers of automation—responsible practices struggle to keep pace. The World Economic Forum (WEF), in partnership with Accenture, sounds the alarm in its latest playbook: less than 1% of organizations have fully operationalized responsible...