AI Risk Management

Imagine a hospital relying on an AI system to diagnose critical conditions, only for undetected data drift to skew results, endangering patient lives, a scenario that underscores a pressing reality. As AI becomes integral to sectors like healthcare, finance, and logistics, ensuring its reliability

Laurent Giraid is a renowned technologist whose expertise in artificial intelligence has shaped the way enterprises navigate the complex landscape of machine learning, natural language processing, and AI ethics. With a deep understanding of both cutting-edge innovation and the practical challenges

Allow me to introduce Laurent Giraid, a distinguished technologist with deep expertise in artificial intelligence, focusing on machine learning, natural language processing, and the ethical implications of AI. Today, we’re diving into his insights on a groundbreaking AI-based method developed to

Imagine a world where a routine mammogram not only detects existing cancer but also predicts a woman’s risk of developing it years before symptoms appear, potentially saving countless lives through early intervention and personalized care. Breast cancer remains a leading cause of death among women

What happens when a machine determines a person’s fate—whether they receive welfare, secure a job, or gain parole—and the result feels fundamentally wrong? In an era where artificial intelligence (AI) is reshaping public decision-making, this question looms large, demanding urgent attention. Across

Imagine seeking advice from a trusted confidant who agrees with every word, showers endless praise, and never challenges a single thought, creating a comforting yet potentially deceptive dynamic. This scenario, while initially soothing, is becoming a pervasive reality with the rise of sycophantic