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Full Description
In this comprehensive and cutting-edge volume, Qureshi and Jeon bring together experts from around the world to explore the potential of artificial intelligence models in research and discuss the potential benefits and the concerns and challenges that the rapid development of this field has raised.
The international chapter contributor group provides a wealth of technical information on different aspects of AI, including key aspects of AI, deep learning and machine learning models for AI, natural language processing and computer vision, reinforcement learning, ethics and responsibilities, security, practical implementation, and future directions. The contents are balanced in terms of theory, methodologies, and technical aspects, and contributors provide case studies to clearly illustrate the concepts and technical discussions throughout. Readers will gain valuable insights into how AI can revolutionize their work in fields including data analytics and pattern identification, healthcare research, social science research, and more, and improve their technical skills, problem-solving abilities, and evidence-based decision-making. Additionally, they will be cognizant of the limitations and challenges, the ethical implications, and security concerns related to language models, which will enable them to make more informed choices regarding their implementation.
This book is an invaluable resource for undergraduate and graduate students who want to understand AI models, recent trends in the area, and technical and ethical aspects of AI. Companies involved in AI development or implementing AI in various fields will also benefit from the book's discussions on both the technical and ethical aspects of this rapidly growing field.
Contents
1. Introduction and History of Language Models in Research 2. The Advantages of Artificial Intelligence in Research 3. AI Models and Data Analytics: Transforming Research Methods 4. Advanced AI-Based Healthcare Systems Applications and Services 5. AI Models in Environmental Social Science Research: Leveraging Technology for Sustainable Solutions 6. Artificial Intelligence in Natural Science Research: Innovations and Limitations 7. AI Models and Ethical Considerations in Research 8. AI Models and Applications of AI Models 9. The Role of Human Expertise in AI-Aided Research 10. Limitations and Challenges of Language Models in Research 11. Ethical Implications of Language Models 12. Security and Privacy Concerns in AI Models
