> - Inclusivity: all citizens, including those in the Global South, should be able to access and meaningfully use AI tools.
> - Public interest: governance should go beyond the do no harm principle and define a broader accountability framework for companies that build, deploy and control AI, as well as downstream users.
> - Centrality of data governance: AI governance cannot be divorced from the governance of data and the promotion of data commons.
> - Universal, networked and multistakeholder: AI governance should prioritize universal buy-in by countries and stakeholders. It should leverage existing institutions through a networked approach.
> - International Law: AI governance needs to be anchored in the UN Charter, International Human Rights Law, and the Sustainable Development Goals.
> The Body identified what some functions of AI governance should entail. Among others, they include, regularly assessing the state of AI and its trajectory, harmonizing standards, safety and risk management frameworks, promoting international multistakeholder collaboration to empower the Global South, monitoring risks and coordinating emergency response, and developing binding accountability norms.