Ethical Decision-Making Using Artificial Intelligence

Sapna Juneja, PhD is a professor and Associate Dean of Research and Development in the Department of Computer Science and Engineering with the KIET Group of Institutions, with over 17 years of experience. She has published six patents and various research articles in renowned journals. Her research interests include software engineering, computer networks, operating systems, database management systems, and artificial intelligence. Rajesh Kumar Dhanaraj, PhD is a professor at Symbiosis International University. He has authored and edited over 50 books, numerous book chapters, and over 100 articles in refereed international journals, in addition to 21 patents. His research interests include machine learning, cyber-physical systems, and wireless sensor networks. Abhinav Juneja, PhD is a professor and the Head of the Department of Computer Science and Information Technology with the KIET Group of Institutions, with over 21 years of teaching experience. He has edited two books and has over 55 publications in books, journals, and conferences. His research focuses on machine learning and Internet of Things. Malathy Sathyamoorthy, PhD is an assistant professor in the Department of Information Technology at the KPR Institute of Engineering and Technology. She has published over 25 research papers in international journals. 22 papers in international conferences, two patents, four book chapters, and one book. His research interests include wireless sensor networks, networking, security, and machine learning. Asadullah Shaikh, PhD is a professor, the Head of Research and Graduate Studies, and the coordinator for seminars and training with the College of Computer Science and Information Systems, at Najran University. He has over 170 publications in international journals and conferences. His research interests include Unified Modeling Language model verification and class diagrams verification with Object Constraint Language constraints for complex models, formal verification, and feedback techniques for unsatisfiable UML and OCL class diagrams.

• Preface xxi1 Standards, Policies, Ethical Guidelines and Governance in Artificial Intelligence: Insights on the Financial Sector 1Purohit S. and Arora, R.1.1 Introduction 21.2 Chatbots in the Financial Industry 31.3 Background of the Study 51.4 Literature Review 61.5 Understanding Bias in Customer Service Chatbots 81.6 Impact of Bias in Financial Chatbot Interactions 101.7 Strategies for Mitigating Bias in Financial Customer Service Chatbots 111.8 Ethical Considerations and Transparency in Financial Chatbot Firms 131.9 Future Directions and Recommendations 151.10 Conclusion 162 Domain-Specific AI Algorithms and Models in Decision-Making: An Overview 27P. Kanaga Priya, A. Reethika, Malathy Sathyamoorthy and Rajesh Kumar Dhanaraj2.1 Introduction 282.2 Understanding Domain-Specific Decision Making 362.3 Building Blocks of AI for Decision-Making 382.4 Domain-Specific AI: Revolutionizing Industries 392.5 Ethical and Societal Implications 512.6 Future Directions and Emerging Trends 512.7 Conclusion 523 Role of AI in Decision-Making – A Comprehensive Study 55Rohit Vashisht, Sonia Deshmukh and Ashima Arya3.1 Introduction 563.2 Need of AI-Based Decision-Making System 583.3 Major Obstacle for AI-Based Decision-Making System 623.4 Applications of AI-Based Decision-Making System 653.5 Case Study: AIDMS for Age-Related Macular Degeneration (amd) 703.6 Conclusion and Future Directions 754 Ethical Challenges in AI Decision]Making: From the User’s Perspective 79M. Nalini, S. Sandhya and S. Shiwani4.1 Introduction 804.2 Public Perception towards AI 854.3 Ethical Dilemmas of AI 874.4 Emerging Issues that are Prevailing in the Current World 904.5 Future Considerations 955 Ethical Decision-Making in Yoga Posture Detection through AI: Fostering Responsible Technology Integration 99Ishita Jain, Riya Srivastava, Vanshita Srivastava, Vanshika Sinha and Abhinav Juneja5.1 Introduction 1005.2 Literature Review 1115.3 Technologies Used 1125.4 Dataset Used 1155.5 Methodology 1175.6 Conclusion 1196 Ethical AI: A Design of an Integrated Framework towards Intelligent Decision-Making in Stock Control 125Mini Verma and Palak Gupta6.1 Introduction 1266.2 Benefits and Impact of AI on Inventory Control 1286.3 Best Practices for Implementing AI for Stock Management in E-Commerce 1316.4 Formulation of Proposed Model 1386.5 Conclusion 1487 Integrating Machine Learning and Data Ethics: Frameworks for Intelligent Ethical Decision-Making 153Karishma Sharma, Deepa Gupta, Mukul Gupta and Rajesh Dhanaraj7.1 Introduction 1547.2 Concept of Machine Learning and Data Ethics 1557.3 Importance of ML and AI in Design Making 1577.4 Defining an Intelligent Decision-Making Support System 1587.5 Transformation of the Decision-Making System to Intelligent Decision-Making Support 1597.6 Architecture Framework 1617.7 Conceptual Framework 1627.8 Cloud-Based Scalability with Auto Scaling 1707.9 Case Study of Complex Problem Using Framework 1747.10 Algorithm and Coding Analysis 1747.11 Results and Impact Analysis 1787.12 Conclusion 1788 Importance of Human Loop in AI-Based Decision-Making: Strengthening the Ethical Perspective 183A. Reethika, P. Kanaga Priya, Malathy Sathyamoorthy and Rajesh Kumar Dhanaraj8.1 Introduction 1848.2 Human Interaction with AI Platform 1868.3 Human and Machine Ethical Annotation 1878.4 Exploring AI with Human-in-the-Loop Technique 1918.5 Creating Ethical AI Using HTIL Technique 1958.6 Conclusion 2039 AI in Finance and Business: Novel Method for Human Resource Recommendation Using Improved Gradient Boosting Tree Model 207Mahima Shanker Pandey, Abhishek Singh, Bihari Nandan Pandey, Aparna Sharma and Prashant Upadhyay9.1 Introduction 2089.2 Literature Review 2109.3 The Proposed Model 2179.4 Evaluation of the Impact of the Technology 2189.5 Conclusion 22210 Comprehensive View from Ethics to AI Ethics: With Multifaceted Dimensions 227Kanika Budhiraja, Gurminder Kaur, Yatu Rani and Rupam Jha10.1 Introduction 22810.2 AI (Artificial Intelligence) 23010.3 Concept of Ethics 23410.4 AI Ethics 23910.5 AI Ethics in Business 24510.6 AI Ethics in Medicine 25010.7 AI Ethics in Education 25410.8 Conclusion 25511 Case Study on Soil Identification for Insecticides and Fertilizer Recommendation Using IoT and Deep Learning: An Ethical Approach in Smart Agriculture 4.0 259Richa Singh and Rekha Kashyap11.1 Introduction 26011.2 Literature Survey 26411.3 Problem Formulation 26811.4 Proposed Work 26911.5 Result and Discussion 27111.6 Conclusion 27612 Case Study on Ethical AI-Based Decision-Making in E-Commerce Industrial Sector: Insights on McDonald’s and Deliveroo 283Anushka Singh, Naman Tyagi and Dolly Sharma12.1 Introduction 28412.2 Foundations of AutoML 28412.3 Benefits and Challenges 28612.4 Industrial Applications of AutoML: McDonald’s 28912.5 Industrial Applications of AutoML: Deliveroo 29512.6 Ethical Considerations 30312.7 Future Trends 30612.8 Conclusion 30913 AI Insights: Navigating Education News Ethically Through Aggregation and Sentiment Analysis 313Anshumaan Garg and Dolly Sharma13.1 Introduction 31413.2 Literature Review 32313.3 Methodology 32813.4 Results Discussion 33413.5 Conclusion and Future Work 33914 Case Study on AI-Based Ethical Decision-Making for Smart Transportation 343S. Muthu Lakshmi, K. Mythili, Malathy Sathyamoorthy, Rajesh Kumar Dhanaraj and Aanjan Kumar S.14.1 Introduction 34414.2 Artificial Intelligence 34514.3 Role of Artificial Intelligence in Transportation 34714.4 Literature Review 34814.5 Challenges 35114.6 AI Ethics 35114.7 Data Confidentiality and Security 36014.8 Vision from Data: Smart Decision-Making in Transportation 36114.9 Conclusions 36314.10 Future Directions 36315 Case Study on AI-Based Decision-Making in E-Commerce: Exploring Location-Based Insights for Analysis of Geospatial Data 367Ashima Arya, Daksh Rampal, Ekagra, Kashish Varshney, Rohit Vashisht and Yonis Gulzar15.1 Introduction 36815.2 Objective 37215.3 Background Knowledge 37215.4 Related Work 37415.5 Data Analysis of Geolocation Data 37815.6 Proposed Methodology 38015.7 Results 38415.8 Conclusion 38715.9 Future 387Acknowledgment 388References 388Index 393