Challenges in large language model development and AI ethics /

Bibliographic Details
Other Authors:	Gupta, Brij, 1982- (Editor)
Format:	eBook
Language:	English
Published:	Hershey, PA : IGI Global, Engineering Reference (an imprint of IGI Global), [2024]
Series:	Advances in computational intelligence and robotics (ACIR) book series.
Subjects:	Natural language processing (Computer science) Traitement automatique des langues naturelles. Electronic books.

Table of Contents:

Preface
Acknowledgment
Chapter 1. Understanding Large Language Models
Chapter 2. Challenges in Large Language Model Development and AI Ethics
Chapter 3. Foundations of AI Ethics
Chapter 4. Ethical AI Development and Deployment
Chapter 5. The Future of Ethical AI
Chapter 6. Transparency and Accountability
Chapter 7. Regulatory and Policy Considerations for Large Language Models: Frameworks, Implications, and Future Directions
Chapter 8. Unraveling the Inner Workings of Massive Language Models: Architecture, Training, and Linguistic Capacities
Chapter 9. Cybersecurity Fundamentals
Chapter 10. Data Ethics and Privacy
Chapter 11. AI Safety and Security
Chapter 12. Intrusion Detection and Analysis in IoT Devices Using Machine Learning Models
Chapter 13. The Future of Ethical AI in Large Language Models: Trends, Challenges, and Opportunities
Compilation of References
About the Contributors
Index.