9780309726665: Machine Learning for Safety-Critical Applications: Opportunities, Challenges, and a Research Agenda
Tapa blanda
ISBN 10: 0309726662 ISBN 13: 9780309726665
Editorial: National Academies Press, 2025

Sinopsis

Advances in artificial intelligence, and specifically in machine learning, are enabling new capabilities across nearly every sector of the economy. Many of these applications - such as automated vehicles, the power grid, or surgical robots - are safety critical: where malfunctions can result in harm to people, the environment, or property. While machine learning is already being deployed to enhance the capabilities of some physical systems, extending the rigorous practices of safety engineering to include machine learning components brings significant challenges.

Machine Learning for Safety-Critical Applications explores ways to safely integrate machine learning into physical systems and presents research priorities for improving safety, testing, and evaluation. This report finds that designing machine learning algorithms in a way that aligns with safety engineering standards will require changes in research, training, and engineering practice - as well as a shift away from focusing on algorithmic performance in isolation.

"Sinopsis" puede pertenecer a otra edición de este libro.

Editorial
National Academies Press
Año de publicación
2025
Idioma
Inglés
ISBN 10 
0309726662
ISBN 13 
9780309726665
Encuadernación
Tapa blanda
Número de páginas
106
Contacto del fabricante
no disponible
Persona responsable
no disponible