This report equips policymakers and regulators with implementable strategies for resilient generative AI governance contained within a 360-degree governance framework. The pillars of the comprehensive framework address regulatory gaps, stakeholder-specific governance challenges and the evolving demands of this rapidly advancing technology. 

Key recommendations

• Prior to developing new AI regulations or authorities, governments should assess existing regulations for tensions and gaps; clarify responsibility allocation through legal and regulatory precedents and supplement efforts where gaps are found; and evaluate existing regulatory authorities for capacity to tackle generative AI challenges.
• Governments must use a broader set of governance tools, beyond regulations, to address challenges unique to each stakeholder group; cultivate multi-stakeholder knowledge-sharing and encourage interdisciplinary thinking; and lead by example by adopting responsible AI practices.
• Governments need to develop national strategies that feature foresight mechanisms through upskilling government; horizon scanning of generative AI innovation and foreseeable risks; impact assessments and agile regulations; and international cooperation to align standards and risk taxonomies.