{"product_id":"ethical-decision-making-using-artificial-intelligence-hardback-9781394275281","title":"Ethical Decision-Making Using Artificial Intelligence (Hardback) 9781394275281","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eEthical Decision-Making Using Artificial Intelligence\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eSapna Juneja (Edited by), Juneja (Author), Rajesh Kumar Dhanaraj (Edited by), Abhinav Juneja (Edited by), Malathy Sathyamoorthy (Edited by), Asadullah Shaikh (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394275281, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 22 July 2025\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e432 pages\u003cbr\u003e28 x 19 x 2.5 cm, 0.666 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003ci\u003eEthical Decision-Making Using Artificial Intelligence\u003c\/i\u003e: \u003ci\u003eChallenges, Solutions, and Applications\u003c\/i\u003e 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. \u003c\/p\u003e\n\u003cp\u003eThe 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. \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eEthical Decision-Making Using Artificial Intelligence: Challenges, Solutions, and Applications\u003c\/i\u003e 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.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xxi\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Standards, Policies, Ethical Guidelines and Governance in Artificial Intelligence: Insights on the Financial Sector 1\u003cbr\u003e\u003c\/b\u003e\u003ci\u003ePurohit S. and Arora, R.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 2\u003c\/p\u003e \u003cp\u003e1.2 Chatbots in the Financial Industry 3\u003c\/p\u003e \u003cp\u003e1.3 Background of the Study 5\u003c\/p\u003e \u003cp\u003e1.4 Literature Review 6\u003c\/p\u003e \u003cp\u003e1.5 Understanding Bias in Customer Service Chatbots 8\u003c\/p\u003e \u003cp\u003e1.6 Impact of Bias in Financial Chatbot Interactions 10\u003c\/p\u003e \u003cp\u003e1.7 Strategies for Mitigating Bias in Financial Customer Service Chatbots 11\u003c\/p\u003e \u003cp\u003e1.8 Ethical Considerations and Transparency in Financial Chatbot Firms 13\u003c\/p\u003e \u003cp\u003e1.9 Future Directions and Recommendations 15\u003c\/p\u003e \u003cp\u003e1.10 Conclusion 16\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Domain-Specific AI Algorithms and Models in Decision-Making: An Overview 27\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eP. Kanaga Priya, A. Reethika, Malathy Sathyamoorthy and Rajesh Kumar Dhanaraj\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 28\u003c\/p\u003e \u003cp\u003e2.2 Understanding Domain-Specific Decision Making 36\u003c\/p\u003e \u003cp\u003e2.3 Building Blocks of AI for Decision-Making 38\u003c\/p\u003e \u003cp\u003e2.4 Domain-Specific AI: Revolutionizing Industries 39\u003c\/p\u003e \u003cp\u003e2.5 Ethical and Societal Implications 51\u003c\/p\u003e \u003cp\u003e2.6 Future Directions and Emerging Trends 51\u003c\/p\u003e \u003cp\u003e2.7 Conclusion 52\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Role of AI in Decision-Making – A Comprehensive Study 55\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eRohit Vashisht, Sonia Deshmukh and Ashima Arya\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 56\u003c\/p\u003e \u003cp\u003e3.2 Need of AI-Based Decision-Making System 58\u003c\/p\u003e \u003cp\u003e3.3 Major Obstacle for AI-Based Decision-Making System 62\u003c\/p\u003e \u003cp\u003e3.4 Applications of AI-Based Decision-Making System 65\u003c\/p\u003e \u003cp\u003e3.5 Case Study: AIDMS for Age-Related Macular Degeneration (amd) 70\u003c\/p\u003e \u003cp\u003e3.6 Conclusion and Future Directions 75\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Ethical Challenges in AI Decision]Making: From the User’s Perspective 79\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eM. Nalini, S. Sandhya and S. Shiwani\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 80\u003c\/p\u003e \u003cp\u003e4.2 Public Perception towards AI 85\u003c\/p\u003e \u003cp\u003e4.3 Ethical Dilemmas of AI 87\u003c\/p\u003e \u003cp\u003e4.4 Emerging Issues that are Prevailing in the Current World 90\u003c\/p\u003e \u003cp\u003e4.5 Future Considerations 95\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Ethical Decision-Making in Yoga Posture Detection through AI: Fostering Responsible Technology Integration 99\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eIshita Jain, Riya Srivastava, Vanshita Srivastava, Vanshika Sinha and Abhinav Juneja\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 100\u003c\/p\u003e \u003cp\u003e5.2 Literature Review 111\u003c\/p\u003e \u003cp\u003e5.3 Technologies Used 112\u003c\/p\u003e \u003cp\u003e5.4 Dataset Used 115\u003c\/p\u003e \u003cp\u003e5.5 Methodology 117\u003c\/p\u003e \u003cp\u003e5.6 Conclusion 119\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Ethical AI: A Design of an Integrated Framework towards Intelligent Decision-Making in Stock Control 125\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eMini Verma and Palak Gupta\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 126\u003c\/p\u003e \u003cp\u003e6.2 Benefits and Impact of AI on Inventory Control 128\u003c\/p\u003e \u003cp\u003e6.3 Best Practices for Implementing AI for Stock Management in E-Commerce 131\u003c\/p\u003e \u003cp\u003e6.4 Formulation of Proposed Model 138\u003c\/p\u003e \u003cp\u003e6.5 Conclusion 148\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Integrating Machine Learning and Data Ethics: Frameworks for Intelligent Ethical Decision-Making 153\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eKarishma Sharma, Deepa Gupta, Mukul Gupta and Rajesh Dhanaraj\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 154\u003c\/p\u003e \u003cp\u003e7.2 Concept of Machine Learning and Data Ethics 155\u003c\/p\u003e \u003cp\u003e7.3 Importance of ML and AI in Design Making 157\u003c\/p\u003e \u003cp\u003e7.4 Defining an Intelligent Decision-Making Support System 158\u003c\/p\u003e \u003cp\u003e7.5 Transformation of the Decision-Making System to Intelligent Decision-Making Support 159\u003c\/p\u003e \u003cp\u003e7.6 Architecture Framework 161\u003c\/p\u003e \u003cp\u003e7.7 Conceptual Framework 162\u003c\/p\u003e \u003cp\u003e7.8 Cloud-Based Scalability with Auto Scaling 170\u003c\/p\u003e \u003cp\u003e7.9 Case Study of Complex Problem Using Framework 174\u003c\/p\u003e \u003cp\u003e7.10 Algorithm and Coding Analysis 174\u003c\/p\u003e \u003cp\u003e7.11 Results and Impact Analysis 178\u003c\/p\u003e \u003cp\u003e7.12 Conclusion 178\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Importance of Human Loop in AI-Based Decision-Making: Strengthening the Ethical Perspective 183\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eA. Reethika, P. Kanaga Priya, Malathy Sathyamoorthy and Rajesh Kumar Dhanaraj\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 184\u003c\/p\u003e \u003cp\u003e8.2 Human Interaction with AI Platform 186\u003c\/p\u003e \u003cp\u003e8.3 Human and Machine Ethical Annotation 187\u003c\/p\u003e \u003cp\u003e8.4 Exploring AI with Human-in-the-Loop Technique 191\u003c\/p\u003e \u003cp\u003e8.5 Creating Ethical AI Using HTIL Technique 195\u003c\/p\u003e \u003cp\u003e8.6 Conclusion 203\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 AI in Finance and Business: Novel Method for Human Resource Recommendation Using Improved Gradient Boosting Tree Model 207\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eMahima Shanker Pandey, Abhishek Singh, Bihari Nandan Pandey, Aparna Sharma and Prashant Upadhyay\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 208\u003c\/p\u003e \u003cp\u003e9.2 Literature Review 210\u003c\/p\u003e \u003cp\u003e9.3 The Proposed Model 217\u003c\/p\u003e \u003cp\u003e9.4 Evaluation of the Impact of the Technology 218\u003c\/p\u003e \u003cp\u003e9.5 Conclusion 222\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Comprehensive View from Ethics to AI Ethics: With Multifaceted Dimensions 227\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eKanika Budhiraja, Gurminder Kaur, Yatu Rani and Rupam Jha\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 228\u003c\/p\u003e \u003cp\u003e10.2 AI (Artificial Intelligence) 230\u003c\/p\u003e \u003cp\u003e10.3 Concept of Ethics 234\u003c\/p\u003e \u003cp\u003e10.4 AI Ethics 239\u003c\/p\u003e \u003cp\u003e10.5 AI Ethics in Business 245\u003c\/p\u003e \u003cp\u003e10.6 AI Ethics in Medicine 250\u003c\/p\u003e \u003cp\u003e10.7 AI Ethics in Education 254\u003c\/p\u003e \u003cp\u003e10.8 Conclusion 255\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Case Study on Soil Identification for Insecticides and Fertilizer Recommendation Using IoT and Deep Learning: An Ethical Approach in Smart Agriculture 4.0 259\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eRicha Singh and Rekha Kashyap\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 260\u003c\/p\u003e \u003cp\u003e11.2 Literature Survey 264\u003c\/p\u003e \u003cp\u003e11.3 Problem Formulation 268\u003c\/p\u003e \u003cp\u003e11.4 Proposed Work 269\u003c\/p\u003e \u003cp\u003e11.5 Result and Discussion 271\u003c\/p\u003e \u003cp\u003e11.6 Conclusion 276\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Case Study on Ethical AI-Based Decision-Making in E-Commerce Industrial Sector: Insights on McDonald’s and Deliveroo 283\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eAnushka Singh, Naman Tyagi and Dolly Sharma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 284\u003c\/p\u003e \u003cp\u003e12.2 Foundations of AutoML 284\u003c\/p\u003e \u003cp\u003e12.3 Benefits and Challenges 286\u003c\/p\u003e \u003cp\u003e12.4 Industrial Applications of AutoML: McDonald’s 289\u003c\/p\u003e \u003cp\u003e12.5 Industrial Applications of AutoML: Deliveroo 295\u003c\/p\u003e \u003cp\u003e12.6 Ethical Considerations 303\u003c\/p\u003e \u003cp\u003e12.7 Future Trends 306\u003c\/p\u003e \u003cp\u003e12.8 Conclusion 309\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 AI Insights: Navigating Education News Ethically Through Aggregation and Sentiment Analysis 313\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eAnshumaan Garg and Dolly Sharma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 314\u003c\/p\u003e \u003cp\u003e13.2 Literature Review 323\u003c\/p\u003e \u003cp\u003e13.3 Methodology 328\u003c\/p\u003e \u003cp\u003e13.4 Results Discussion 334\u003c\/p\u003e \u003cp\u003e13.5 Conclusion and Future Work 339\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Case Study on AI-Based Ethical Decision-Making for Smart Transportation 343\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eS. Muthu Lakshmi, K. Mythili, Malathy Sathyamoorthy, Rajesh Kumar Dhanaraj and Aanjan Kumar S.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 344\u003c\/p\u003e \u003cp\u003e14.2 Artificial Intelligence 345\u003c\/p\u003e \u003cp\u003e14.3 Role of Artificial Intelligence in Transportation 347\u003c\/p\u003e \u003cp\u003e14.4 Literature Review 348\u003c\/p\u003e \u003cp\u003e14.5 Challenges 351\u003c\/p\u003e \u003cp\u003e14.6 AI Ethics 351\u003c\/p\u003e \u003cp\u003e14.7 Data Confidentiality and Security 360\u003c\/p\u003e \u003cp\u003e14.8 Vision from Data: Smart Decision-Making in Transportation 361\u003c\/p\u003e \u003cp\u003e14.9 Conclusions 363\u003c\/p\u003e \u003cp\u003e14.10 Future Directions 363\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Case Study on AI-Based Decision-Making in E-Commerce: Exploring Location-Based Insights for Analysis of Geospatial Data 367\u003cbr\u003e\u003c\/b\u003e\u003ci\u003eAshima Arya, Daksh Rampal, Ekagra, Kashish Varshney, Rohit Vashisht and Yonis Gulzar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 368\u003c\/p\u003e \u003cp\u003e15.2 Objective 372\u003c\/p\u003e \u003cp\u003e15.3 Background Knowledge 372\u003c\/p\u003e \u003cp\u003e15.4 Related Work 374\u003c\/p\u003e \u003cp\u003e15.5 Data Analysis of Geolocation Data 378\u003c\/p\u003e \u003cp\u003e15.6 Proposed Methodology 380\u003c\/p\u003e \u003cp\u003e15.7 Results 384\u003c\/p\u003e \u003cp\u003e15.8 Conclusion 387\u003c\/p\u003e \u003cp\u003e15.9 Future 387\u003c\/p\u003e \u003cp\u003eAcknowledgment 388\u003c\/p\u003e \u003cp\u003eReferences 388\u003c\/p\u003e \u003cp\u003eIndex 393\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Computer science [\u003ca title=\"See our other books on Computer science\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20science%20%5BUY%5D%22\"\u003eUY\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52433244324120,"sku":"9781394275281","price":163.59,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394275281.jpg?v=1784852919","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/ethical-decision-making-using-artificial-intelligence-hardback-9781394275281","provider":"Freshly Printed Books","version":"1.0","type":"link"}