Explainable AI (XAI): Making Machine Learning Models Interpretable and Trustworthy Cloud Computing

Amit Vyas · Renzon Cosme Pecho · Harpreet Kaur Grewal · Dr. Haewon Byeon

May 2024 · Xoffencer international book publication house

Ebook

244

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About this ebook

Both explainable artificial intelligence (XAI) and cloud computing are vital components because they both play a significant part in the creation of the landscape of artificial intelligence (AI) and computing infrastructure. XAI and cloud computing are two of the most important pillars in the world of current technology. The purpose of this introduction is to provide an overview of the fundamental concepts behind both Explainable AI and cloud computing. In this section, we will study the relevance of these notions, as well as their applications and the synergies that they offer. A solution that satisfies the critical requirement for interpretability and transparency in artificial intelligence systems is referred to as explainable artificial intelligence, or XAI for short. Understanding the method by which artificial intelligence algorithms arrive at conclusions is of the highest significance, particularly in sensitive industries such as healthcare, finance, and law. This is because the algorithms are growing more intricate and prevalent, and it is becoming increasingly important to understand how they arrive at their results. XAI techniques are intended to give insights into the inner workings and reasoning processes of artificial intelligence models, with the purpose of demystifying the "black box" nature of these models. XAI approaches are aimed to deliver these insights. In addition to allowing stakeholders to detect biases or mistakes and ensure compliance with regulations, increasing the interpretability of artificial intelligence systems enables stakeholders to have a greater degree of trust in these systems. The provisioning, administration, and distribution of computer resources are all fundamentally transformed by cloud computing, which is regarded to be a breakthrough technology. Cloud computing is also known as utility computing. The term "cloud computing" refers to the practice of storing, managing, and processing data through the utilization of a network of distant servers that are located on the Internet. This is in contrast to the conventional method of computing, which is dependent on the infrastructure and servers located locally. This technology offers organizations unrivaled scalability, flexibility, and cost-efficiency, making it possible for them to use computer resources on demand without the trouble of managing physical infrastructure.

About the author

Amit Vyas is a highly accomplished computer science professional, having completed his master’s degree in computer science from Cleveland State University in May 2023. He holds a B. Tech degree from Manipal Institute of Technology, Karnataka, India. With a keen interest in Artificial Intelligence, Deep Learning, and Machine Learning, Amit specializes in computer vision, 3D object detection, and large Language Models. His expertise extends to Natural Language Processing (NLP), where he has explored the applications of cutting-edge technologies such as GPT-2 and BART for abstractive text summarization. During his tenure as a Research Assistant at the Intelligent Communications and Autonomous Systems Lab in Cleveland, Amit worked on a groundbreaking project involving multi-camera 3D Object Detection for Autonomous Driving. His contributions to the field have been recognized through publications of his research and survey work in prestigious international conferences.

Renzon Cosme Pecho have done Doctor in Metallurgical Engineering, Chemical Processes, Materials and Environmental Technology from the Pontifical Catholic University of Rio de Janeiro-Brazil, with Post-Doctorate studies in NANOMATERIALS, MBA in Project Management (IAG-Brazil) and International MBA (Porto-Portugal Catholic Business School). I also have a Master's degree in Mining and Environmental Management (UNI-Peru), Graduated and Registered as a Chemical Engineer. I also have diploma studies in Mining Safety, Occupational Health and Quality Management in ISO 17025 laboratories. With 14 years holding various positions at the level of coordination, leadership and supervision in companies in the chemical, mining, nanotechnology, metalworking, environmental, education, research. I currently work as a consultant for mining and environmental projects, university professor and postgraduate in Peru and Brazil.

I Harpreet Kaur Grewal is currently working as an Assistant Professor with the Department of Computer Science and Engineering, Gulzar Group of Institutes (Khanna, Punjab. She is a responsible and energetic Computer Science and Information Technology Faculty with excellent communication and Coordination skills demonstrated by 14 years of Classroom experience with various curriculums. She has authored in more than 15 research papers in various journals and conferences

Dr. Haewon Byeon received the DrSc degree in Biomedical Science from Ajou University School of Medicine. Haewon Byeon currently works at the Department of Medical Big Data, Inje University. His recent interests focus on health promotion, AImedicine, and biostatistics. He is currently a member of international committee for a Frontiers in Psychiatry, and an editorial board for World Journal of Psychiatry. Also, He were worked on 4 projects (Principal Investigator) from the Ministry of Education, the Korea Research Foundation, and the Ministry of Health and Welfare. Byeon has published more than 343 articles and 19 books

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