As we dive into the rapidly evolving world of artificial intelligence, I’m thrilled to sit down with Laurent Giraud, a renowned technologist whose deep expertise in machine learning, natural language processing, and AI ethics has positioned him as a thought leader in the field. Today, we’ll explore
Central question and scope: genuine care, covert surveillance, or a contested middle ground? In a moment when employers promise compassion at scale, the rise of AI that listens, counsels, and infers feelings poses a stark question that refuses to go away: does this technology genuinely care for
A sharper way to ask the hard question What if the leap in robot reliability came not from ever-larger models but from a smarter split between thinking and doing that keeps language plans on a short leash and loops real-world feedback back into every choice the machine makes? The premise is blunt:
I'm thrilled to sit down with Laurent Giraid, a renowned technologist whose deep expertise in Artificial Intelligence has guided countless enterprises through the complexities of machine learning, natural language processing, and the ethical challenges of AI deployment. With years of hands-on
Audiences may chuckle at machine-written quips, but new evidence argues the laugh line hides a deeper gap between fluent mimicry and real comic sense, and that gap matters whenever meaning and nuance do the heavy lifting. A study presented at EMNLP by teams from Cardiff University and Ca’ Foscari
Caitlin Laing sat down with Laurent Giraid, a technologist focused on machine learning, natural language processing, and AI ethics, to explore how Europe can convert world-class research and strong values into measurable economic gains. The conversation ranges from a €1.2 trillion opportunity and
