Hallucination-aware AI for truthful and aligned systems /
| Corporate Author: | |
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| Other Authors: | , , , , |
| Format: | eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global Scientific Publishing,
2026.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Preface
- Section 1. Foundations of Hallucination in AI Systems
- Chapter 1. Hallucination in AI Systems: Understanding and Framework
- Chapter 2. Conceptual and Philosophical Perspectives
- Section 2. From Fluency to Fidelity: A Conceptual Framework and Toolkit for Evaluating and Detecting Hallucinations in Generative AI
- Chapter 3. Trust in AI Systems
- Chapter 4. The Phenomenology of Trust: An Existential Prerequisite for Hallucination-Aware AI
- Chapter 5. Towards Truthful and Responsible AI Systems
- Section 3. Detection, Mitigation, and Model Design
- Chapter 6. Human -in-the-Loop Frameworks for AI Mitigation and Accountability
- Chapter 7. Method Distinction for Hallucination Detection
- Section 4. Domain-Specific Applications in Healthcare
- Chapter 8. Fact-Filtering Frameworks: Integrating Verification Pipelines for Hallucination-Resistant Large Language Models
- Chapter 9. Generative Artificial Intelligence in Healthcare
- Chapter 10. Integrated Healthcare Management With AI and Real-Time Optimization Multi-Criteria Decision Analysis
- Chapter 11. Beyond Automation: A Framework for Augmenting Clinical Expertise With Generative AI
- Section 5. Sectoral Impact and Research Trends
- Chapter 12. Mitigating Hallucinations in AI: Ensuring Trustworthy and Aligned Systems in Legal, Educational, and Governmental Sectors
- Compilation of References
- About the Contributors
- Index.