Responsible Artificial Intelligence (eBook, PDF)

Proceedings of ICRAI 2024
Redaktion: Hewage, Chaminda; Shekar, B. H.; Khan, A. M.; Kesswani, Nishtha

• Format: PDF

Produktbeschreibung

This book presents selected papers from International Conference on Responsible Artificial Intelligence (ICRAI 2024), held on 16-17 December 2024, in Mangalore University, Mangalore, India. The topics covered in the book are responsible AI solutions, equitable AI solutions, transparent AI solutions, generative AI solutions, policies and regulations on AI, deepfakes and privacy, network monitoring and control, and tackling misinformation and disinformation.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 325
• Erscheinungstermin: 11. November 2025
• Englisch
• ISBN-13: 9789819684410
• Artikelnr.: 75867049

Autorenporträt

Nishtha Kesswani received the M.Tech. degree from the Malaviya National Institute of Technology and the Ph.D. degree in computer science from the University of Rajasthan. From 2014 to 2015, she was a post-doctoral researcher with California State University at San Bernardino, USA. She has a vivid teaching experience at several reputed universities, including California State University at San Bernardino and the University of Ljubljana, Slovenia. She has visited more than 15 countries and delivered invited talks at several conferences and workshops. She is currently with the Central University of Rajasthan, India. Her current research interests include wireless networks and Internet of things. She has received prestigious awards, including the UGC Raman Postdoctoral Fellowship tenable in USA and the Young Teacher Award.    Chaminda Hewage currently serves as the Associate Dean for Research at the Cardiff School of Technologies, Cardiff Metropolitan University, UK. He is also an Associate Professor (Reader) and the founding Director of the Cybersecurity and Information Networks Centre (CINC) at Cardiff Metropolitan University. He obtained his B.Sc. Engineering (First Class Honours) degree in Electrical and Information Engineering from the University of Ruhuna (Sri Lanka) in 2004, followed by a Ph.D. in Multimedia Communications from the University of Surrey (UK) in 2009. In 2005, Hewage received the Overseas Research Scholarships (ORS) award from the Higher Education Funding Council for England to pursue his Ph.D. studies. He has secured funding from UKRI, FP7, Horizon 2020, the British Council, Royal Academy of Engineering and has participated in several EU FP7 consortia projects. To date, he has published more than 120 peer-reviewed international articles in top-tier journals and conferences. His current research interests include data security, privacy, data protection, cybersecurity, and data processing and visualization.   Dr. A. M. Khan is a Senior Professor in the Department of Electronics at Mangalore University and also serves as Director of the Planning Monitoring and Evaluation Board. He holds a Ph.D. in Electronics specializing in Embedded systems. Dr. Khan has successfully guided numerous doctoral candidates and continues to supervise Ph.D. scholars across various research areas in Electronics. He has worked on major research projects funded by agencies like DST (India), UGC, and BRNS. He has also collaborated with many industries for research. He is the key person behind the recently established Responsible AI cluster (funded by the Global Wales—Karnataka Partnership Projects 2023)  for Higher Education between Mangalore University and Cardiff School of Technologies—Cardiff Metropolitan University. His research areas include research in biomedical signal processing, embedded system design, and VLSI Technology.   Dr. B. H. Shekar is a Professor in the Department of Computer Science at Mangalore University and also serves as Director of the International Student Centre. He holds a Ph.D. in Computer Science and completed his post-doctoral research at the University of Surrey, UK, specializing in multimodal biometrics. His areas of academic and research interest include artificial intelligence, machine learning, image and video analytics, biometrics, and medical image processing. Dr. Shekar has successfully guided numerous doctoral candidates and continues to supervise Ph.D. scholars across interdisciplinary research areas. He has led and collaborated on major national and international research projects funded by agencies like DST (India), UGC, and DAAD, with collaborations involving institutions in Russia and Japan.

Inhaltsangabe

Fuzzy Low-Pass Filtering Approach for Mammogram Image Enhancement in Breast Cancer Identification.- Systematic Review on Machine Learning Algorithms in Image Forgery Detection.- Enhanced Watermark Text Classification Using Extended MobileNetV2 Model.- Feature Descriptors and Selection Techniques Analysis for Signature Verification using Recommender Systems.- Survey Paper on Text Echo: Personalized TTS System.