Centering Transparency and Trust in Data and AI Ecosystems - Tapa blanda

 
9798337367620: Centering Transparency and Trust in Data and AI Ecosystems
Tapa blanda
ISBN 13: 9798337367620
Editorial: Engineering Science Reference, 2026

Sinopsis

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.

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Acerca del autor

Otmane Azeroual is a world-renowned senior researcher, lecturer, and thought leader in digital transformation, artificial intelligence, and advanced data-driven research infrastructures. His groundbreaking interdisciplinary work at the nexus of computer science, higher education research, innovation management, and industry has set new standards in how data and AI reshape science and society. His research on the design, deployment, and critical evaluation of Current Research Information Systems (CRIS) ― combined with cutting-edge AI-powered analytics ― is internationally acclaimed and among the most cited in the field. Dr. Azeroual’s pioneering contributions drive the evolution of intelligent data ecosystems that empower Open Science, elevate transparency, and revolutionize strategic decision-making in science policy worldwide. Holding a Ph.D. in Engineering Informatics and a robust foundation in business information systems and software engineering, he has authored numerous high-impact publications in top-tier journals and has been a sought-after keynote and plenary speaker at prestigious global conferences. His expertise is recognized by editorial boards and scientific committees internationally, where he shapes the future agenda of research data science. Bridging academia and private industry, Dr. Azeroual uniquely fuses rigorous theoretical insight with practical innovation. His leadership in both sectors fuels transformative digital strategies and sustainable technological solutions. As an inspiring educator, he equips emerging researchers and professionals with cutting-edge knowledge in AI, data science, research analytics, and project management ― preparing them to excel in complex, dynamic environments. Passionate about harnessing AI for evidence-based governance, Dr. Azeroual actively collaborates across disciplines to build resilient, transparent, and data-driven research infrastructures that set global benchmarks. His visionary work not only advances scientific understanding but also catalyzes paradigm shifts that benefit institutions, governments, and society at large.

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Editorial
Engineering Science Reference
Año de publicación
2026
Idioma
Inglés
ISBN 13 
9798337367620
Encuadernación
Tapa blanda
Número de páginas
338
Editor
Azeroual Otmane
Contacto del fabricante
no disponible
Persona responsable
gpsr@libri.de
gpsr@libri.de

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