Ethical Decision-Making Using Artificial Intelligence

Sapna Juneja, Rajesh Kumar Dhanaraj, Abhinav Juneja, Malathy Sathyamoorthy, Asadullah Shaikh

• Publisher: Wiley-Scrivener
• Year: 2025
• Print ISBN: 9781394275281
• eBook ISBN: 9781394275304
• Edition: 1
• Topic: Computer Science
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

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.

Table of contents

• Cover
• Series Page
• Title Page
• Copyright Page
• Contents
• Preface
• Chapter 1 Standards, Policies, Ethical Guidelines and Governance in Artificial Intelligence: Insights on the Financial Sector
• Chapter 2 Domain-Specific AI Algorithms and Models in Decision-Making: An Overview
• Chapter 3 Role of AI in Decision-Making . A Comprehensive Study
• Chapter 4 Ethical Challenges in AI Decision-Making: From the User's Perspective
• Chapter 5 Ethical Decision-Making in Yoga Posture Detection through AI: Fostering Responsible Technology Integration
• Chapter 6 Ethical AI: A Design of an Integrated Framework towards Intelligent Decision-Making in Stock Control
• Chapter 7 Integrating Machine Learning and Data Ethics: Frameworks for Intelligent Ethical Decision-Making
• Chapter 8 Importance of Human Loop in AI-Based Decision-Making: Strengthening the Ethical Perspective
• Chapter 9 AI in Finance and Business: Novel Method for Human Resource Recommendation Using Improved Gradient Boosting Tree Model
• Chapter 10 Comprehensive View from Ethics to AI Ethics: With Multifaceted Dimensions
• Chapter 11 Case Study on Soil Identification for Insecticides and Fertilizer Recommendation Using IoT and Deep Learning: An Ethical Approach in Smart Agriculture 4.0
• Chapter 12 Case Study on Ethical AI-Based Decision-Making in E-Commerce Industrial Sector: Insights on McDonaldfs and Deliveroo
• Chapter 13 AI Insights: Navigating Education News Ethically Through Aggregation and Sentiment Analysis
• Chapter 14 Case Study on AI-Based Ethical Decision-Making for Smart Transportation
• Chapter 15 Case Study on AI-Based Decision-Making in E-Commerce: Exploring Location-Based Insights for Analysis of Geospatial Data
• Index
• Also of Interest
• EULA