Agentic AI Governance: Building Trustworthy and Transparent Systems for Public Decision Making
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Responsible AI – Best Practices for Creating Trustworthy AI Systems – Addison-Wesley
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Agents in the Long Game of AI: Computational Cognitive Modeling for Trustworthy, Hybrid AI
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Trustworthy AI – A Business Guide for Navigating Trust and Ethics in AI – Wiley-VCH
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AI & Responsibility: Creating AI Accountability | AI Policy Development | Responsible AI Strategies | AI Governance for Business | Trustworthy AI Deployment | Managing AI Risks | Building AI Governanc
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Mastering AI Governance: A Guide to Building Trustworthy and Transparent AI Systems
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Mise en Place for AI: A Practical Guide to Well-Managed Data for Trustworthy AI
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Neuro-Symbolic AI: Design transparent and trustworthy systems that understand the world as you do
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Knowledge Graphs for LLMs: A Hands-On Guide to Building Trustworthy AI
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AI Assurance: Towards Trustworthy, Explainable, Safe, and Ethical AI
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The Governance-First Blueprint: How to Architect Trustworthy Data and Governed AI at Scale
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Designing Trustworthy Immersive Systems at the Convergence of Metaverse, AI, and Cybersecurity
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Interpretable and Trustworthy AI: Techniques and Frameworks
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Designing Trustworthy Immersive Systems at the Convergence of Metaverse, AI, and Cybersecurity
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From Trustworthy AI Principles to Public Procurement Practices: 36 (De Gruyter Contemporary Social Sciences, 36)
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Agentic AI Governance: Building Trustworthy and Transparent Systems for Public Decision Making
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Adversarial Machine Learning: Mechanisms, Vulnerabilities, and Strategies for Trustworthy AI
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Beyond the Black Box: Explainable and Ethical AI for Trustworthy Learning Analytics in Education: Interpretable ML, XAI Techniques & Responsible Decision- Making in Educational Systems
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Constitutional Intelligence: A Decision Architecture for Trustworthy AI Governance
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Robust AI Agents with Probabilistic Models: Practical Guide for Building Trustworthy, Adaptive Machine Learning Solutions: 3 (The Robust Agent Series)
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Building Trustworthy Agentic AI Systems: Reliable Multi-Agent Systems with Java and Akka
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“GenAI Money Machines: Designing Trustworthy Income Systems with Prompt Engineering”
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Civic Algorithms: Building Trustworthy AI for Society
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AI-Native LLM Security: Threats, defenses, and best practices for building safe and trustworthy AI
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Building Trustworthy Agentic AI Systems: Reliable Multi-Agent Systems with Java and Akka
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Explainable AI: Building Trustworthy Deep Learning Systems (Prospects in Smart Technologies)
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“GenAI Money Machines: Designing Trustworthy Income Systems with Prompt Engineering”
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AI Under Constraints: Designing Fast, Affordable, Sustainable, and Trustworthy AI Solutions
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Practical Agentic Spec-Driven Engineering: Building Trustworthy Software Systems with Intelligent AI Partners, Timeless Blueprints, Quality Practices, and Scalable Collaboration
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Responsible AI in Practice: A Product, Governance, and Engineering Handbook for Building Trustworthy AI Systems
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Responsible AI Engineering: Building Trustworthy Systems - Training Handbook
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Production-Ready RAG: A Developer’s Guide to Building Trustworthy AI Search Systems
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Anthropic: Claude, AI Safety, and the Race to Build Trustworthy Intelligence
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"Secure, Intelligent Communication Systems: Engineering Trustworthy AI Interfaces in a Connected World"
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AI Governance Playbook: A Practical Guide to Building Trustworthy and Responsible AI Systems
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Mastering AI Governance: A Guide to Building Trustworthy and Transparent AI Systems
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