Page 25 - AI Governance Day - From Principles to Implementation

AI Governance Day - From Principles to Implementation

Inclusivity and capacity building

• AI governance must address the specific needs of developing countries, ensuring that
AI solutions are tailored to local realities and cultural specifics. Inclusivity, for instance of
young women in African societies, is vital for equitable AI development
• International cooperation on standards, pooling financing resources, and avoiding
fragmented efforts are essential for effective capacity building and governance.

Education and transparency

• Transparency in AI interactions is critical, including the right to know whether one is
interacting with a human or a machine. The burden of proving the safe and ethical use of
AI should rest on developers.
• Education on AI technologies and their implications should be a priority to ensure that
society is adequately prepared for the changes brought by AI.

Moving from summits to action
• Transitioning from discussions at summits to actionable plans through AI Safety Institutes
and other mechanisms is crucial for implementing effective AI governance. Emphasizing
the definition and regulation of AI safety is necessary to address the risks associated with
AI technologies.
• Global digital compacts and resolutions, such as the WTSA Resolution for the ITU to
coordinate standards efforts within the UN, are steps towards cohesive international
governance frameworks.

Figure 10: Tristan Harris, Director, Executive Director of the Center for Humane
Technology, speaking during the Multistakeholder Panel

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