1st Edition
Interpretable and Trustworthy AI Techniques and Frameworks
Chapter 1 Demystifying AI: A Comparative Study on Artificial General Intelligence and Artificial Super Intelligence
Gnanasankaran Natarajan, Prakash Jeyaraman, B. Sundaravadivazhagan, and Elakkiya Elango
Chapter 2 Interpretable and Trustworthy Sleep Pattern Analysis for Sleep Disorders Using Explainable AI (XAI) Techniques
D. Jeya Mala, Yaswanth, Shreyas, and Gokul Krishana
Chapter 3 Navigating the Landscape of Interpretable and Trustworthy AI: Key Challenges and Solutions
Yamini B., G. Premalatha, Vetriselvi D., and M.K. Vidhyalakshmi
Chapter 4 Emerging Trends in Deep Learning69
Gowri K., B.L. Shivakumar, and V. Kavitha
Chapter 5 Deep Learning: Innovations, Applications, and Future Directions
Mercy Theresa M., B. Yasotha, M. Nalini, and Siva Subramanian R.
Chapter 6 Exploring Generative Adversarial Networks: Core Concepts, Innovations, and Future Implications in AI
Deepa B.G., Deepa S., Kavitha S., and Vijayalakshmi A. Lepakshi
Chapter 7 Generative Adversarial Networks in Artificial Intelligence: Advances, Applications, and Future Directions
B. Yasotha, Arthy M., M. Nalini, and Siva Subramanian R.
Chapter 8 Local Interpretable Model- Agnostic Explanations (LIME)
Elakkiya Elango, Shreenidhi Krishnamurthy Subramaniyan, Harishchander Anandaram, and Balasubramanian Shanmuganathan
Chapter 9 Analysis of SHAP-Based Interpretable Feature Selection
Techniques for Advancing Healthcare Decision- Making
E. Chandra Blessie, Kannammal A., B. Sundaravadivazhagan, and K. Rajarajeshwari
Chapter 10 DALEX (Model Agnostic Exploration, Explanation and Learning Implementation in Interpretable AI)
Harishchander Anandaram, Shreenidhi Krishnamurthy Subramaniyan,
B. Sundaravadivazhagan, Balasubramanian Shanmuganathan, and
Elakkiya Elango
Chapter 11 Bridging Concepts to Reality: Tools and Technologies for Interpretable and Reliable AI
E. Sivananda Lahari Reddy and P. Narasimhaiah
Chapter 12 AI Audit and Compliance Frameworks: Building Trust through Systematic Validation
B. Sundaravadivazhagan, N.A. Natraj and Pethuru Raj
Chapter 13 Data Privacy and Security in Artificial Intelligence: Tools, Challenges, and Innovations
M. Jaithoon Bibi, V. Kavitha, and B. Sundaravadivazhagan
Chapter 14 Interpretable AI in Healthcare: Frameworks, Applications, and Future Directions
N.A. Natraj, B. Sundaravadivazhagan, T. Abirami, M. Bhuvaneswari, and Nitin Lingayat
Chapter 15 AI Applications for Finance and Banking: Techniques, Challenges, and Future Directions
Lijetha C. Jaffrin, K. Dhivya, M. Nalini, and Siva Subramanian R.
Chapter 16 Interpretable AI in Finance: Enhancing Transparency and Trust
M.K. Vidhyalakshmi, C. Geetha, Yamini B., and G. Premalatha
Chapter 17 SkinGAN: Enhancing Diagnostic Sensitivity of Rare Skin Lesions through StyleGAN- Based Synthesis
Anushree Raj, Deepa B.G., and Pallavi M.O.
Chapter 18 Advancing Interpretable Machine Learning: Principles, Challenges, and Practical Insights
B. Shaji, Ram Mohan N.R., K.L. Nisha, and E. Babu Raj
Biography
Dr. Pethuru Raj is chief architect at the Edge AI Division of Reliance Jio Platforms Ltd, Bangalore, India.
Dr. Kousalya Govardhanan is a professor and dean of research-SKI at Sri Krishna College of Engineering and Technology, Coimbatore, India.
Dr. B. Sundaravadivazhagan is affiliated with the Department of Information Technology, The University of Technology and Applied Sciences-Al Mussanah, Oman.
Dr. Shubham Mahajan is an assistant professor at the Amity School of Engineering & Technology, Amity University, Haryana, India.
Dr. M. Nalini is an associate professor at the Department of Computer Science and Business Systems, S.A. Engineering College, Tamil Nadu, India.
