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.
What is this page?
You are reading a summary article on the Privacy Newsfeed, a free resource for DPOs and other professionals with privacy or data protection responsibilities helping them stay informed of industry news all in one place. The information here is a brief snippet relating to a single piece of original content or several articles about a common topic or thread. The main contributor is listed in the top left-hand corner, just beneath the article title.
The Privacy Newsfeed monitors over 300 global publications, of which more than 4,350 summary articles have been posted to the online archive dating back to the beginning of 2020. A weekly roundup is available by email every Friday.
