32,09 €
Versandkostenfrei per Post / DHL
Aktuell nicht verfügbar
Mastering AI Governance: A Guide to Building Trustworthy and Transparent AI Systems dives into a future where innovation thrives under the guiding principles of ethics, inclusivity, and governance excellence. Whether you are a business leader, technologist, academic, or tech-savvy AI enthusiast, this book delivers the tools and knowledge necessary to harness AI’s potential responsibly.
• Provides cutting-edge insights on AI risks and delves into emerging threats and strategies to mitigate them effectively;
• Offers real-world case studies and explores global regulations and how they shape the future of ethical AI governance.
Mastering AI Governance: A Guide to Building Trustworthy and Transparent AI Systems dives into a future where innovation thrives under the guiding principles of ethics, inclusivity, and governance excellence. Whether you are a business leader, technologist, academic, or tech-savvy AI enthusiast, this book delivers the tools and knowledge necessary to harness AI’s potential responsibly.
• Provides cutting-edge insights on AI risks and delves into emerging threats and strategies to mitigate them effectively;
• Offers real-world case studies and explores global regulations and how they shape the future of ethical AI governance.
Foreword.- Introduction.- Navigating the AI Frontier: Emerging Trends and Governance Implications.- How to Evaluate GenAI Models: Unlocking Their Potential for Your Unique Tasks.- Taming AI Hallucinations: Innovations in Retrieval-Augmented Generation and Evaluation.- Invisible Exposure: The Privacy Risks of AI Models.- Unmasking Deepfakes: Navigating Challenges and Solutions in the Age of AI-Driven Manipulation.- Unmasking the Security Risks of Generative AI: Threats and Strategies for Defense.- Unmasking Model Bias: Building Fair, Reliable, and Trustworthy Models.- Unveiling the Black Box: Enhancing AI/ML Model Explainability for Transparency and Trust.- Model Monitoring: Lessons from Recent Failures.- Navigating Change Management: Lessons and Best Practices for Managing AI/GenAI Models in a Dynamic Landscape.- AI Governance: Preparing for the Rise of Agentic AI.- Epilogue.
| Erscheinungsjahr: | 2025 |
|---|---|
| Genre: | Informatik, Mathematik, Medizin, Naturwissenschaften, Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: |
xxi
137 S. 1 s/w Illustr. 137 p. 1 illus. |
| ISBN-13: | 9783031936807 |
| ISBN-10: | 3031936809 |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: | Gangavarapu, Rajendra |
| Hersteller: |
Springer
Palgrave Macmillan Springer International Publishing AG |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 241 x 160 x 15 mm |
| Von/Mit: | Rajendra Gangavarapu |
| Erscheinungsdatum: | 27.09.2025 |
| Gewicht: | 0,41 kg |