LATIDIA · Investigación

Lo que la IA se equivoca y lo que el fracaso nos enseña

Jennifer Neville no quería dedicarse a la informática, pero ahí es exactamente donde aterrizó. Neville analiza los arranques y paradas que la llevaron a su punto óptimo profesional y su trabajo identificando "fracasos sorprendentes"

La noticia

Jennifer Neville is a partner research manager at Microsoft who’s built a career around understanding and advancing AI for real-world use, and much like the human-AI interactions she’s been studying, her early-career path was multiturn: math, then physics; cognitive science, then work; and finally computer science—despite her best efforts to avoid the field. In this conversation with Principal Applied Scientist Chad Atalla , she explores the role evaluation plays in pushing the performance boundaries of today’s AI systems to meet user needs and the “surprising failures” that emerge when models are tested beyond traditional benchmarks. Neville also shares practical guidance for working with current AI systems and discusses why looking