Enhancing Correctness, Fairness and Coherence in AI Chatbots
How can organisations ensure that AI-powered chatbots deliver correct, fair, and coherent information to employees? This question is at the [...]
Enhancing Fairness in Resignation Prediction with BRIO
At MIRAI, we believe that fairness in AI is a shared responsibility. In our latest challenge with a partner in [...]
Enhancing Fairness in Fraud Detection with BRIO
At MIRAI, we believe that fairness in AI is a shared responsibility. In our latest challenge with a partner [...]
Enhancing Fairness in Credit Scoring with BRIO
At MIRAI, we're championing responsible AI. Our BRIO tool offers a model‑agnostic approach to detect bias and assess unfairness [...]
The AI Act and High-Risk AI Systems
High-Risk AI Systems (Chapter III of the AI Act) With the entry into force of the Artificial Intelligence Act (AI [...]
Beyond the Algorithmic Verdict: Agency Returns to the User in Interactive XAI
In 2016, Cathy O’Neil published the essay Weapons of Math Destruction, whose title might have seemed provocative: the author intended to [...]
Deepfakes: What They Are and How They Are Used
Nowadays, most topics related to artificial intelligence are highly relevant and widely debated. One of the most controversial and feared [...]
L is for LLM
A Language Model is an artificial intelligence system designed to analyze an input expressed in natural language and, by recognizing [...]
I is for Interpretability
The interpretability of an Artificial Intelligence (AI) system is the property that allows the system’s actions and algorithmic mechanisms to [...]
H is for Hidden Layers
In the field of Artificial Intelligence, Hidden Layers represent the core of artificial neural networks. Positioned between the initial input [...]