Understanding Explainable AI

Dr Nonita Sharma is an Associate Professor in the Department of Information Technology at the Indira Gandhi Delhi Technical University for Women, Delhi.  Dr Sharma has an active research publication record in SCI/SCOPUS indexed journals such as Springer, Elsevier, Inderscience, and Bentham Science, with works addressing ensemble learning, disease forecasting, blockchain frameworks, and software fault prediction. 
Dr Monika Mangla is working as an Associate Professor in the Department of Information Technology at Dwarkadas J Sanghvi College of Engineering, Mumbai. She has 24 years of teaching experience at undergraduate and postgraduate levels to her credit. Her interest areas include IoT, Cloud Computing, Algorithms and Optimization, Location Modelling and Machine Learning. She has authored a book on Algorithms published by Pearson. She has also edited scholarly volumes published by Pearson, Taylor & Francis, CRC Press, Wiley, and Apple Academic Press. Dr Monika has an active research publication record by publishing research articles in SCI and SCOPUS-indexed journals published by reputed publishers, namely Springer, Elsevier, and Bentham Science. She has actively worked in the domain of ensemble learning, disease forecasting, software fault prediction, and photovoltaic power forecasting. 
Dr Nilesh Patil is working as an Associate Professor in the Department of Computer Engineering at Dwarkadas J Sanghvi College of Engineering, Mumbai. He has 20 years of teaching experience at undergraduate and postgraduate levels to his credit. His interest areas include Blockchain Technology, Machine Learning, and Cyber Security. He has guided several projects at the UG and PG level. He is also supervising PhD Research Scholars. Dr Nilesh has an active research publication record by publishing research articles in SCI and SCOPUS-indexed journals published by reputed publishers like Springer, Elsevier. He has been associated with several reputed conferences as a Reviewer and Session chair. He also has 3 patents and 1 copyright to his credit. He is a life member of ISTE and a senior member of IEEE. 
Dr Ramchandra Sharad Mangrulkar is a Professor in the Department of Information Technology at Dwarkadas J Sanghvi College of Engineering in Mumbai, India. He holds various memberships in professional organizations such as IEEE, ISTE, ACM, and IACSIT. He completed his Doctor of Philosophy (Ph.D) in Computer Science and Engineering from S.G.B. Amravati University in Maharashtra, and Master of Technology (MTech) degree in Computer Science and Engineering from the National Institute of Technology, Rourkela. Dr Mangrulkar is proficient in several technologies and tools, including Microsoft's Power BI, Power Automate, Power Query, Power Virtual Agents, Google's Dialog Flow, and Overleaf.