CLAIR.bot: One Year of Responsible AI Serving Public Debate

CLAIR.bot is a free, multi-agent AI that helps everyone navigate AI with sourced, clear answers. One year on, it keeps evolving to make AI debates more transparent and accessible.

July 24, 2025 · 4 min read

How to give sight to a blind language model

Get a good technical understanding of how vision-language models are built and trained.

July 23, 2025 · 15 min read

Under the Hood: Technical Blueprint of a GenAI-Powered ESG Due Diligence Tool

This paper introduces the Client ESG Due Diligence Tool, an automated solution that evaluates sustainability risks and opportunities of working with clients, whatever the industry they operate in.

June 10, 2025 · 25 min read

Revolutionizing ESG Due Diligence: A User-Centric Overview of a GenAI-Powered Sustainability Assessment Tool

This paper introduces the Client ESG Due Diligence Tool, an automated solution that evaluates sustainability risks and opportunities of working with clients, whatever the industry they operate in.

June 9, 2025 · 8 min read

Speed vs. Control vs. Flexibility: A Technical Framework for AI Architecture Selection

This article introduces a structured framework for evaluating AI Models, AI Workflows, and AI Agents, emphasizing empirical selection principles based on operational constraints and industry-specific requirements rather than technological trends.

June 6, 2025 · 6 min read

Part 2: From Theory to Measurement - Quantifying the Impact of Communication on Our Carbon Footprint

In a context where companies are called upon to reduce their greenhouse gas emissions by 5% per year, the communication industry faces a fundamental question: how to evaluate and optimize its real contribution to the ecological transition?

May 26, 2025 · 9 min read

Part 1: The Dual Impact of Communication: A Conceptual Framework for Understanding its Environmental Impact

This analysis examines how the communication sector contributes to 5% of French carbon emissions, distinguishing between direct impacts (production and distribution) and the more significant indirect effects on consumer behavior, offering a fresh perspective on communication's role in ecological transition.

May 22, 2025 · 9 min read

Counterfactual Explanations: Enhancing Machine Learning Transparency and Delivering Actionable Insights

Discover what counterfactual explanations are and how illustrating changes that lead to different model outcomes enhances transparency, fairness, and actionable decision-making in machine learning.

April 16, 2025 · 11 min read

MMM Opportunities of Using Causal Inference

Integrating causal inference into Marketing Mix Models transforms correlation-based marketing analytics into powerful decision engines that reveal the true impact of campaigns.

March 31, 2025 · 10 min read