Trustworthy AI Systems

Engineering Secure, Scalable, and Responsible Intelligence for Real Applications

Vaishnavi Gudur, Bishwajeet Pandey, Advait Patel (Herausgeber)

Buch | Hardcover

2026
Springer International Publishing (Verlag)
978-3-032-15605-1 (ISBN)

Infos

This book bridges the gap between leading-edge AI innovation and real deployment, by offering a practical guide to engineering secure, scalable, and responsible AI. The authors describe a unified framework that merges engineering principles with ethical design, cybersecurity, explainability, and policy alignment. Through expert insights, case studies, and technical guidance, the book empowers researchers, developers, and decision-makers to build AI that users can trust.

Autor

Vaishnavi Gudur is a senior software engineer, independent researcher, and IEEE contributor with a deep focus on building secure, scalable, and ethical AI systems. With years of experience leading front-end architecture and telemetry pipelines at Microsoft and contributing to global AI research, she has authored multiple book chapters and research papers on AI safety, compliance, and explainability. Her current work spans the intersection of AI engineering, trustworthy systems, and performance optimization at scale.In addition to her technical contributions, Vaishnavi actively mentors early-stage AI startups and serves as a peer reviewer and advisor for academic journals and international conferences. Her passion lies in bridging practical AI deployment with responsible innovation, and she is deeply committed to shaping future-forward, compliant AI ecosystems through her work in research, judging, and thought leadership.

Dr. Bishwajeet Pandey is a Professor at GL Bajaj Institute of Technology and Management, Greater Noida, India. He has been a Senior Member of IEEE since 2019. He holds an MTech in Computer Science from the IIIT, Gwalior, India, and a PhD in Computer Science from the Gran Sasso Science Institute, Italy. He has taught at esteemed institutions such as Chitkara University, Chandigarh; Jain University, Bangalore; Astana IT University, Kazakhstan; Eurasian National University, Kazakhstan (QS World Rank 321); Walsh College, USA; and UCSI University, Malaysia (QS World Rank 265). Dr. Pandey is a prolific researcher with over 30 published books and more than 220 research papers indexed in Scopus. He has garnered over 4500+ citations. His leadership roles include serving as the Research Head of the School of CSE at Jain University, Bangalore, from 2021 to 2023 and as the head of the International Global Academic Partnership Committee at Birla Institute of Applied Science, Bhimtal, from 2020 to 2021. In 2023, Dr. Pandey was honoured with the prestigious Professor of the Year Award at Lord's Cricket Ground by the London Organisation of Skills Development. Beyond his outstanding research output, his greatest strength lies in his global academic network. He has visited 49 countries, participated in 105 international conferences, and co-authored papers with 218 professors from 93 universities across 42 nations.

Advait Patel is a Senior Site Reliability Engineer with over 8 years of experience in cloud computing, site reliability engineering, and cloud security. He holds a Master s degree in Computer Science from DePaul University, specializing in Software Engineering and Cloud Computing. Advait is currently at Broadcom, where he develops and maintains a globally distributed SaaS-based metrics monitoring platform. His expertise includes technologies such as Kubernetes, Terraform, Ansible, and Python. He has a strong focus on vulnerability management, compliance frameworks, and disaster recovery. Advait is an active contributor to the tech community and has presented at multiple conferences, authored articles on Docker, cloud security, and containerization, and is a technical reviewer for various IEEE and ACM publications.

Inhalt

Introduction to Trustworthy AI.- Ethical Principles and Global Guidelines.- AI Governance and Risk Management Frameworks.- Security in AI Systems.- Explainable AI: Tools and Techniques.- Robustness and Reliability in Machine Learning.- Bias Detection and Fairness Evaluation.- Responsible Data Engineering.- Trust and Safety in Financial AI Systems.- AI for National Security and Defense.- Autonomous Vehicles and Embedded Systems.- Designing for Human-Centered AI.- Regulatory Compliance and Auditability.- Scaling Trustworthy AI in Startups and Enterprises.- Open Source, Community-Driven Best Practices.- The Future of Trustworthy AI: Trends and Predictions.

Produkt-Details

• Erscheint lt. Verlag: 16.3.2026
• Zusatzinfo: Approx. 350 p. 100 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Maße: 155 x 235 mm
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Schlagworte: AI compliance frameworks • AI Risk Management • Ethical AI Practices • Responsible AI engineering • Scalable AI security • Secure machine learning • Trustworthy AI systems
• ISBN-10: 3-032-15605-X / 303215605X
• ISBN-13: 978-3-032-15605-1 / 9783032156051
• Zustand: Neuware