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Ethical Decision-Making Using Artificial Intelligence: Challenges, Solutions, and Applications gives invaluable insights into the ethical complexities of artificial intelligence, empowering the navigation of critical decisions that shape our future in an era where AI's influence on society is rapidly expanding.
The significant impact of artificial intelligence on society cannot be overstated in a time of lightning-fast technical development and growing integration of AI into our daily lives. A new frontier of human potential has emerged with the development and application of AI technologies, pushing the limits of what is possible in the areas of innovation and efficiency. AI systems are increasingly trusted with complicated decisions that affect our security, well-being, and the fundamental foundation of our societies as they develop in intelligence and autonomy. These choices have substantial repercussions for both individuals and communities in a wide range of fields, including healthcare, finance, criminal justice, and transportation. The necessity for moral direction and deliberate decision-making procedures is critical as AI systems develop and become more independent.
Ethical Decision-Making Using Artificial Intelligence: Challenges, Solutions, and Applications examines the complex relationship between artificial intelligence and the moral principles that guide its application. This book addresses fundamental concerns surrounding AI ethics, namely what moral standards ought to direct the creation and use of AI systems. In order to promote responsible AI development that is consistent with human values and goals, this book's goal is to equip readers with the knowledge and skills they need to traverse the ethical landscape of AI decision-making.
Contents
Preface xxi
1 Standards, Policies, Ethical Guidelines and Governance in Artificial Intelligence: Insights on the Financial Sector 1
Purohit S. and Arora, R.
1.1 Introduction 2
1.2 Chatbots in the Financial Industry 3
1.3 Background of the Study 5
1.4 Literature Review 6
1.5 Understanding Bias in Customer Service Chatbots 8
1.6 Impact of Bias in Financial Chatbot Interactions 10
1.7 Strategies for Mitigating Bias in Financial Customer Service Chatbots 11
1.8 Ethical Considerations and Transparency in Financial Chatbot Firms 13
1.9 Future Directions and Recommendations 15
1.10 Conclusion 16
2 Domain-Specific AI Algorithms and Models in Decision-Making: An Overview 27
P. Kanaga Priya, A. Reethika, Malathy Sathyamoorthy and Rajesh Kumar Dhanaraj
2.1 Introduction 28
2.2 Understanding Domain-Specific Decision Making 36
2.3 Building Blocks of AI for Decision-Making 38
2.4 Domain-Specific AI: Revolutionizing Industries 39
2.5 Ethical and Societal Implications 51
2.6 Future Directions and Emerging Trends 51
2.7 Conclusion 52
3 Role of AI in Decision-Making - A Comprehensive Study 55
Rohit Vashisht, Sonia Deshmukh and Ashima Arya
3.1 Introduction 56
3.2 Need of AI-Based Decision-Making System 58
3.3 Major Obstacle for AI-Based Decision-Making System 62
3.4 Applications of AI-Based Decision-Making System 65
3.5 Case Study: AIDMS for Age-Related Macular Degeneration (amd) 70
3.6 Conclusion and Future Directions 75
4 Ethical Challenges in AI Decision]Making: From the User's Perspective 79
M. Nalini, S. Sandhya and S. Shiwani
4.1 Introduction 80
4.2 Public Perception towards AI 85
4.3 Ethical Dilemmas of AI 87
4.4 Emerging Issues that are Prevailing in the Current World 90
4.5 Future Considerations 95
5 Ethical Decision-Making in Yoga Posture Detection through AI: Fostering Responsible Technology Integration 99
Ishita Jain, Riya Srivastava, Vanshita Srivastava, Vanshika Sinha and Abhinav Juneja
5.1 Introduction 100
5.2 Literature Review 111
5.3 Technologies Used 112
5.4 Dataset Used 115
5.5 Methodology 117
5.6 Conclusion 119
6 Ethical AI: A Design of an Integrated Framework towards Intelligent Decision-Making in Stock Control 125
Mini Verma and Palak Gupta
6.1 Introduction 126
6.2 Benefits and Impact of AI on Inventory Control 128
6.3 Best Practices for Implementing AI for Stock Management in E-Commerce 131
6.4 Formulation of Proposed Model 138
6.5 Conclusion 148
7 Integrating Machine Learning and Data Ethics: Frameworks for Intelligent Ethical Decision-Making 153
Karishma Sharma, Deepa Gupta, Mukul Gupta and Rajesh Dhanaraj
7.1 Introduction 154
7.2 Concept of Machine Learning and Data Ethics 155
7.3 Importance of ML and AI in Design Making 157
7.4 Defining an Intelligent Decision-Making Support System 158
7.5 Transformation of the Decision-Making System to Intelligent Decision-Making Support 159
7.6 Architecture Framework 161
7.7 Conceptual Framework 162
7.8 Cloud-Based Scalability with Auto Scaling 170
7.9 Case Study of Complex Problem Using Framework 174
7.10 Algorithm and Coding Analysis 174
7.11 Results and Impact Analysis 178
7.12 Conclusion 178
8 Importance of Human Loop in AI-Based Decision-Making: Strengthening the Ethical Perspective 183
A. Reethika, P. Kanaga Priya, Malathy Sathyamoorthy and Rajesh Kumar Dhanaraj
8.1 Introduction 184
8.2 Human Interaction with AI Platform 186
8.3 Human and Machine Ethical Annotation 187
8.4 Exploring AI with Human-in-the-Loop Technique 191
8.5 Creating Ethical AI Using HTIL Technique 195
8.6 Conclusion 203
9 AI in Finance and Business: Novel Method for Human Resource Recommendation Using Improved Gradient Boosting Tree Model 207
Mahima Shanker Pandey, Abhishek Singh, Bihari Nandan Pandey, Aparna Sharma and Prashant Upadhyay
9.1 Introduction 208
9.2 Literature Review 210
9.3 The Proposed Model 217
9.4 Evaluation of the Impact of the Technology 218
9.5 Conclusion 222
10 Comprehensive View from Ethics to AI Ethics: With Multifaceted Dimensions 227
Kanika Budhiraja, Gurminder Kaur, Yatu Rani and Rupam Jha
10.1 Introduction 228
10.2 AI (Artificial Intelligence) 230
10.3 Concept of Ethics 234
10.4 AI Ethics 239
10.5 AI Ethics in Business 245
10.6 AI Ethics in Medicine 250
10.7 AI Ethics in Education 254
10.8 Conclusion 255
11 Case Study on Soil Identification for Insecticides and Fertilizer Recommendation Using IoT and Deep Learning: An Ethical Approach in Smart Agriculture 4.0 259
Richa Singh and Rekha Kashyap
11.1 Introduction 260
11.2 Literature Survey 264
11.3 Problem Formulation 268
11.4 Proposed Work 269
11.5 Result and Discussion 271
11.6 Conclusion 276
12 Case Study on Ethical AI-Based Decision-Making in E-Commerce Industrial Sector: Insights on McDonald's and Deliveroo 283
Anushka Singh, Naman Tyagi and Dolly Sharma
12.1 Introduction 284
12.2 Foundations of AutoML 284
12.3 Benefits and Challenges 286
12.4 Industrial Applications of AutoML: McDonald's 289
12.5 Industrial Applications of AutoML: Deliveroo 295
12.6 Ethical Considerations 303
12.7 Future Trends 306
12.8 Conclusion 309
13 AI Insights: Navigating Education News Ethically Through Aggregation and Sentiment Analysis 313
Anshumaan Garg and Dolly Sharma
13.1 Introduction 314
13.2 Literature Review 323
13.3 Methodology 328
13.4 Results Discussion 334
13.5 Conclusion and Future Work 339
14 Case Study on AI-Based Ethical Decision-Making for Smart Transportation 343
S. Muthu Lakshmi, K. Mythili, Malathy Sathyamoorthy, Rajesh Kumar Dhanaraj and Aanjan Kumar S.
14.1 Introduction 344
14.2 Artificial Intelligence 345
14.3 Role of Artificial Intelligence in Transportation 347
14.4 Literature Review 348
14.5 Challenges 351
14.6 AI Ethics 351
14.7 Data Confidentiality and Security 360
14.8 Vision from Data: Smart Decision-Making in Transportation 361
14.9 Conclusions 363
14.10 Future Directions 363
15 Case Study on AI-Based Decision-Making in E-Commerce: Exploring Location-Based Insights for Analysis of Geospatial Data 367
Ashima Arya, Daksh Rampal, Ekagra, Kashish Varshney, Rohit Vashisht and Yonis Gulzar
15.1 Introduction 368
15.2 Objective 372
15.3 Background Knowledge 372
15.4 Related Work 374
15.5 Data Analysis of Geolocation Data 378
15.6 Proposed Methodology 380
15.7 Results 384
15.8 Conclusion 387
15.9 Future 387
Acknowledgment 388
References 388
Index 393
