Transparency and Explainability in AI Governance
Addresses critical aspects of protecting personal information in AI systems, including data minimization, consent management, and privacy-preserving techniques. Covers regulatory compliance, privacy by design, and emerging technologies for enhanced data protection.
Stay updated with insights on the evolving landscape of Transparency and Explainability.
UN Maintenance of international peace and security Meeting
World reknown Fei-Fei Li and Yann LeCun opinions at UN «Maintenance of international peace and security» meeting.
AI GRC Explained
Discover how AI GRC help on governance, risk, and compliance with innovative, efficient solutions.
Implementing third-party AI tools
Discover essential strategies for implementing third-party AI tools safely and effectively. Learn best practices for vendor assessment, risk management and governance from industry experts. A comprehensive guide for privacy and AI governance professionals.
What are your ideas for shaping AI to serve the public good?
The findings from a extensive global consultation of citizens and experts on shaping AI to serve the public good, with dual validation from citizens and experts across five continents.
Third-Party AI Assurance: Building Trust in the Age of Artificial Intelligence
Explore how third-party AI assurance methods help organizations validate AI systems, manage risks and build stakeholder trust in AI implementations.
The AI Black Box: Approaches to Transparency and Accountability
Global approaches to AI transparency: regulations, tools, and industry practices in modern governance including model cards, system cards, and watermarking.
AI Governance in the Age of Autonomous Agents: A Critical Look at the Evolution from LLMs to AI Agents
Explore autonomous AI agents and understand its governance challenges. Learn about the benefits, risks, and essential framework for responsible AI agent development and deployment.
The Data Challenge
Discover how organizations can master AI training data management: from data types, quality considerations, and practical strategies for building robust data governance frameworks.
The Critical Imperative of AI Governance: Why Your Organization Can’t Wait Any Longer
Discover why AI governance is crucial for modern organizations and learn how to implement effective frameworks to manage AI risks while maximizing benefits.
More posts