Centering Transparency and Trust in Data and AI Ecosystems

Name: Centering Transparency and Trust in Data and AI Ecosystems
Price: 413.28 AUD
Availability: OutOfStock
ISBN: 9798337367613

Otmane Azeroual

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Hardback

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English

Igi Global Scientific Publishing
28 April 2026

Impact of science & technology on society; Computer science; Artificial intelligence

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.

Edited by: Otmane Azeroual
Imprint: Igi Global Scientific Publishing
Dimensions: Height: 254mm, Width: 178mm, Spine: 21mm
Weight: 803g
ISBN: 9798337367613
Pages: 600
Publication Date: 28 April 2026
Audience: General/trade , ELT Advanced
Format: Hardback
Publisher's Status: Active

Dr.-Ing. Otmane Azeroual is a leading expert in data science, artificial intelligence, and digital transformation, affiliated with the University of Hagen. He holds a PhD in Computer Science, specializing in databases, information systems, AI, and digitalization. Dr. Azeroual has extensive experience in both academia and industry, leading large-scale AI and data-driven projects across Europe, Canada, USA, Asia, the Middle East, and North Africa. He teaches AI and data science courses, mentoring the next generation of computational and informatics experts. His research spans big data analytics, data quality management, predictive modeling, and the integration of digital technologies into organizational processes. Recognized for bridging theory and practice, Dr. Azeroual applies both quantitative and qualitative methodologies to solve complex problems and drive innovation. Dr. Azeroual serves as an Editorial Board Member of the Journal of Big Data (Springer) and acts as a reviewer for several leading international journals in AI, data science, and computing. He holds senior advisory and leadership roles in research initiatives, fostering interdisciplinary collaboration and advancing digital transformation. His work has been published in top-tier journals, presented at international conferences, and he is a sought-after speaker on AI, data science, and emerging technologies. Committed to advancing global knowledge, Dr. Azeroual continues to shape research, education, and strategic initiatives that impact computing and informatics worldwide.