2 résultats pour « AI Governance »

Artificial Intelligence (AI) Governance: An Overview

“This paper looks at global and regional efforts to come up with strategies and regulatory frameworks for AI governance. Chief amongst them include the OECD AI Principles; the EU AI Act; and the NIST AI RMF. The common thread among these frameworks or legislations is identifying and categorizing AI developments and deployments according to their risk levels and providing guidelines for ethical and trustworthy AI with considerations for human safety and innovation.”

AI Fairness in Practice

This workbook addresses the challenge of defining AI fairness, proposing a context-based and society-centered approach. It emphasizes equality and non-discrimination as core principles and identifies various types of fairness concerns across the AI project lifecycle. It advocates for bias identification, mitigation, and management through self-assessment, risk management, and fairness criteria documentation.