Sinopsis
As digital communication becomes increasingly pervasive, the detection of hate speech in both human and AI-generated content has emerged as a critical concern for online safety. The use of harmful language across social media platforms and content generated by language models poses significant challenges in identifying toxic discourse. Traditional moderation methods often fall short in recognizing nuances prompting the integration of machine learning and natural language processing techniques to enhance detection accuracy. This evolving field underscores the need for robust systems capable of distinguishing between free expression and harmful language in this era. Detecting Hate Speech in Human and AI-Generated Content: Techniques, Bias Mitigation, and Ethical Considerations addresses the pressing challenge of hate speech detection across both AI-generated and human-generated content. It fills a crucial gap, providing a dual-focused approach to detect and manage hate speech effectively in this new, mixed-content landscape. Covering topics such as deepfakes, moderation, and social media, this book is an excellent resource for researchers, academicians, students, policymakers, and more.
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Dr. Mohammad Arsalan received his Ph.D. in Electronics and Electrical Engineering from Dongguk University, Seoul, South Korea, in August 2020. His Ph.D. major includes Computer Vision and Artificial Intelligence. He has more than 07 years of teaching and research experience in utilizing custom Deep Learning Networks for various Computer Vision tasks. He has vast research experience in Biometric Recognition, Human Activity Recognition, Autonomous Driving, and Computer-Aided Disease Diagnosis. Based on his research achievements, in September 2020 he Joined the Division of Electronics and Electrical Engineering at Dongguk University as a full-time Assistant Professor. He has also worked as a Research Professor at The Institute for Future of Education, in the Center for Educational Innovation, Tecnologico de Monterrey. Along with multidisciplinary research experience, he has enormous experience in teaching various Computer Vision and Artificial Intelligence-related graduate courses. He has numerous publications published as Journal Articles and International Conference Proceedings in high-quality Q1/Q2 reputable journals around Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) for multidisciplinary applications. He has good experience of editorial/gest editorial roles in reputable journals. Currently, he is working as a Research Assistant Professor at the KINDI Center of Computing Research, College of Engineering and Qatar University, Doha, Qatar. His research interests include Artificial Intelligence/Machine Learning/ Deep Learning/ Computer Vision applications for multidisciplinary applications, medical image analysis, and computer-aided disease diagnosis.
Dr. Mehul Mahrishi has 18+ years of teaching and research experience; I currently work as a professor and Head in the Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management, and Gramothan, Jaipur – India. Before this assignment, I was a postdoctoral researcher at the Institute for the Future of Education Writing Lab, Tecnologico de Monterrey, Mexico. I also served as an Assistant Professor at the Central University of Rajasthan, Ajmer, Rajasthan. I am a Senior Member of the IEEE-Delhi Section, a Life Member of the Institution of Engineers, India (L-IEI), and a Life Member of the International Association of Engineers (IAENG). I was a member of an Indian contingent of the BRICS International Forum that traveled to Moscow, Russia, to attend Russian Energy Week 2018 and the BRICS Youth Energy Summit. I have over 35 publications in reputed international journals, conferences, book chapters and authored books on Operating Systems and Cloud Computing. I have participated in and delivered at various national and international forums. My research activities are twofold: the first is to explore the developmental enhancements in education technology and innovation; the second research theme focuses on Natural Language Processing, Machine Learning, and Sentiment Analysis.
Dr. Ruchi Doshi has more than 16 years of academic, research and software development experience in Asia, Europe, and Africa. Currently she is working as Research Supervisor and Associate Professor at the Azteca University, Mexico and Adjunct Professor at the Jyoti Vidyapeeth Women’s University, Rajasthan, India. She worked at the BlueCrest University College, Liberia, Africa; BlueCrest University College, Ghana, Africa; Amity University, India; Trimax IT Infrastructure & Services, India. She is interested in the field of Machine Learning and Cloud computing framework development. She has published research papers in peer-reviewed international journals and conferences; 3 Indian Patents; 3 books on Cloud Computing, Machine Learning, Mobile Cloud computing, Intelligent IoT Systems for Big Data Analysis and Mobile application development. She is Reviewer, Advisor, Ambassador and Editorial board member of various reputed International Journals and Conferences with IEEE, Springer, and Elsevier. She is an active member in organizing many international seminars, workshops, and conferences. She is nominated from by IEEE Headquarter, USA for the Chair, Women in Engineering (WIE) position in Liberia, West Africa.
Dr. Archika Jain currently working as an Assistant Professor in the Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management and Gramothan, Jaipur - India. She received her Ph.D. degree in Computer Science from Suresh Gyan Vihar University, Jaipur, India in July 2024.Her research interests are Image processing, Machine Learning. She has more than 09 years of teaching experience. She has authored/co-authored over 20 research publications in peer-reviewed reputed journals, book chapters, and conference proceedings. Her research interests include Image Processing, Artificial Intelligence, Machine Learning, Deep Learning and Sentiment analysis.
Dr. Chandrashekhar Goswami is working as Deputy Dean and Associate Professor in Faculty of Computing and Informatics, Sir Padampat Singhania University, Udaipur, India. He is having more than 15+ years of Teaching, Research, and Institutional Experience. He has completed his Ph.D from Vellore Institute of Technology (VIT), Vellore in 2021. Dr. Goswami holds M.Tech. in Computer Science and Engineering from Chhattisgarh Swami Vivekanand Technical University (CSVTU), Bhilai. He also holds MBA degree in Human Resource Management (HRM). He has completed B.E. in Information Technology from Rashtrasant Tukadoji Maharaj Nagpur University (RTMNU), Nagpur. He had presented several papers in International conferences, published 24 International journal papers in SCOPUS and Web of Science, and 4 patents filed. One Copyright has been granted. He is a Life member of CSI and IAENG. His research interest includes Database System, Mobile Ad Hoc Network, Internet of Things (IoT), Deep Learning, Wireless Sensor Networks and Smart City Application.
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