Ethics and Fairness
in AI Governance
Explores the moral principles and values guiding AI development, focusing on eliminating bias, promoting equal treatment, and ensuring fair outcomes across diverse populations. Covers crucial topics like algorithmic fairness, ethical decision-making frameworks, and inclusive AI design practices.
Stay updated with insights on the evolving landscape of Ethics and Fairness.
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.
How AI Bias, Discrimination and Fairness Shape Our Digital Future ?
Explore how AI bias shapes decisions, impacts society, and what we can do to ensure fairer artificial intelligence.
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.
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