Centering Transparency and Trust in Data and AI Ecosystems

Otmane Azeroual

ISBN 13: 9798337367620

Published by IGI GLOBAL SCIENTIFIC PUBLISHING, 2026

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - As data and artificial intelligence (AI) systems become deeply integrated in organizational and societal decision-making, questions of transparency and trust have more apparent in the public and professional concern. Complex algorithms and uneven accountability can erode confidence among users and affected communities. Centering transparency and trust within data and AI ecosystems is therefore essential to ensuring ethical use and equitable outcomes. Centering Transparency and Trust in Data and AI Ecosystems explores the urgent need to develop responsible and ethically grounded data and AI ecosystems. It examines sustainable and transparent AI systems that align with regulatory requirements. Covering topics such as data systems, AI trust, and ethical transparency, this book is an excellent resource for researchers, industry professionals, policymakers, data scientists, and graduate students.

Seller Inventory # 9798337367620

Bibliographic Details

• Title: Centering Transparency and Trust in Data and AI Ecosystems
• Publisher: IGI GLOBAL SCIENTIFIC PUBLISHING
• Publication Date: 2026
• Language: English
• ISBN 13: 9798337367620
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 254W x 178H x 18D millimeters 254 millimeters width by 178 millimeters height by 18 millimeters depth
• Weight: 637 grams

About this title

Synopsis

As data and artificial intelligence (AI) systems become deeply integrated in organizational and societal decision-making, questions of transparency and trust have more apparent in the public and professional concern. Complex algorithms and uneven accountability can erode confidence among users and affected communities. Centering transparency and trust within data and AI ecosystems is therefore essential to ensuring ethical use and equitable outcomes. Centering Transparency and Trust in Data and AI Ecosystems explores the urgent need to develop responsible and ethically grounded data and AI ecosystems. It examines sustainable and transparent AI systems that align with regulatory requirements. Covering topics such as data systems, AI trust, and ethical transparency, this book is an excellent resource for researchers, industry professionals, policymakers, data scientists, and graduate students.