This book (Volume 2) includes peer reviewed articles from the International Conference on Data Science and AI for Social Good and Responsible Innovation (DASGRI-2026), held on 10–11 April at Goldsmiths in the UK. It highlights the latest advancements in explainable, ethical, and trustworthy AI, emphasizing its transformative applications in socially impactful domains such as healthcare, education, climate action, and media. It discusses emerging AI governance models, regulatory challenges, and frameworks for fostering digital trust, while promoting AI literacy, fairness, and inclusivity. By amplifying voices from underrepresented communities, it addresses the need for equitable AI development. Serving as a common platform for pioneering researchers, scientists, engineers, and students, this book facilitates the exchange of ideas and achievements. It brings together global experts to explore innovative issues, encouraging cross-sectoral collaborations that shape responsible AI for the future.
About the Author :
Prof. M. P. S. Bhatia received his Ph.D. degree in Computer Engineering from the Faculty of Technology, University of Delhi, New Delhi, India. He is currently serving as Dean ICT and Full Professor with the Department of Computer Science and Engineering, Netaji Subhas University of Technology (NSUT), New Delhi. His research interests include data science, social media analytics, pervasive healthcare, and cybersecurity.
Prof. George A. Tsihrintzis received his M.Sc. and Ph.D. degrees in Electrical and Computer Engineering from Northeastern University, Boston, MA, USA. He is currently a Professor with the Department of Informatics, University of Piraeus, Greece, where he has held several leadership positions including Head of Department and member of the Administration Council. His research interest are in the areas of artificial intelligence, machine learning, decision theory, statistical signal processing, and their applications.
Dr. Prasanalakshmi Balaji is a Research Professor at the College of Computer Science, King Khalid University, Saudi Arabia. She received her Ph.D. from Bharathiar University, India, and holds multiple postgraduate degrees in computer engineering, software engineering, and cryptography. She completed a postdoctoral fellowship at the Industrial University of Ho Chi Minh City, Vietnam, and has served as visiting faculty at Cardiff Metropolitan University, UK, and other international institutions. Her research interests include neural networks, medical imaging, deep learning, machine learning, data science, and IoT.
Prof. Jennifer George is a Professor of Computing and is passionate about inclusion and accessibility and has championed Goldsmiths to improve student experience by being more disability inclusive. She was awarded a National Teaching Fellowship for her contribution. She served as Head of Computing until 2024 and taught and supervised students in various areas of human computer interaction. Jennifer's research areas include human-computer interaction, faith and belief in the digital world and inclusion and accessibility in learning, teaching and assessments.
