Gloria J. Miller, DBA, is an international expert in AI governance, stakeholder accountability, and complex IT transformation. With over two decades leading large-scale digital initiatives across industries, she developed this framework to give practitioners governance tools traditional project models do not provide. Her research on accountability in AI projects-drawing on multiple published studies and survey data from more than 300 practitioners in the United States, Germany, China, and South Africa-directly informs the framework presented in this book. An IEEE Computer Society Distinguished Contributor, PMP(R), and award-winning researcher, she works with organizations navigating the governance challenges created by artificial intelligence.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9780998348483
Quantité disponible : Plus de 20 disponibles
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9780998348483
Quantité disponible : Plus de 20 disponibles
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. Artificial intelligence is reshaping how decisions are made-in hiring, lending, healthcare, law enforcement, and many other areas of life. Yet when automated systems cause harm, responsibility is often unclear.This book examines the people most affected by AI systems and least likely to be represented in project decisions. It introduces the concept of passive stakeholders-workers, customers, and vulnerable communities who may experience the consequences of automated decisions but have no influence over the projects that create them.Drawing on five case studies and original research, the author presents a practical framework for AI project teams to identify affected stakeholders, assess potential harms, and establish governance structures that clarify responsibility across the full lifecycle of an AI system. The book introduces tools including a stakeholder responsibility workshop, a harm taxonomy, and a lifecycle-weighted scoring model. A practical framework for AI project teams to identify hidden stakeholders, assess potential harms, and establish governance across the full AI system lifecycle. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9780998348483
Quantité disponible : 1 disponible(s)