The Centre for Information Policy Leadership (CIPL) has published a paper on global artificial intelligence (AI) governance. The paper: Ten Recommendations for Global AI Regulation aims to guide AI policymaking and regulation to ensure the development and deployment of accountable, responsible, and trustworthy AI. The paper recommends a risk-based approach to AI regulation that builds on existing laws and standards and accountable AI governance practices of organisations.
Ten recommendations are discussed in the paper, covering three areas:
- Principle-and-outcome-based rules,
- Demonstrable organisational accountability,
- Robust and smart regulatory oversight.
CIPL hopes that these recommendations will help in creating a flexible and adaptable framework that defines the outcomes to be achieved, empowers individuals through transparency, explainability, and mechanisms for redress, and ensures global interoperability.
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