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3 essential features of global generative AI governance

  • The rapid growth of generative AI brings opportunities and risks. A global regulatory mechanism for this emerging tech is now needed.
  • To do so, countries’ regulatory differences, stakeholders’ incentives and risk appetite, and AI’s open-source and self-generative nature must all be taken into account.
  • Here’s what we can learn from approaches in the US, the EU and China, which reflect different AI regulatory guiding principles and priorities.

Given generative AI’s ubiquity across domains and the risks it brings – including job displacement, deep fakes and automatized weapons – it’s time to contemplate a global AI regulatory mechanism.

It’s a formidable challenge to design a genuinely “fit for purpose” mechanism, however. Countries’ regulatory differences, stakeholders’ considerations for incentives and trade-offs, and AI’s open-source and self-generative nature are all vital factors to think about.

To analyse how regulatory differences are rooted in countries’ legal and administrative systems and political context, let’s dissect the current AI regulatory approaches in the US, EU and China.



Boston Global Forum (BGF) has contributed significant initiatives for AI Global Governance from 2017.

BGF published “From the Masssachusetts Miracle to the Age of Global Enlightenment” to celebrate the 90th birthday of Governor Dukakis, introducing contributions of BGF to AI Global Enlightenment. Please see the book here: