The article explores the idea that as artificial intelligence advances toward superintelligence, traditional regulatory approaches will no longer suffice — instead, a collaborative governance model is required, one that draws together governments, corporations, civil society, and technical experts in shared frameworks and oversight. It argues that superintelligent systems pose unique risks (existential, strategic, societal) and thus governance must evolve from fragmented national approaches to cooperative, cross-border institutional structures.
Key pillars of the proposed governance include:
- Transparency and auditability: ensuring superintelligent systems can be inspected, their decision-making traced, and outcomes accounted for.
- Shared oversight mechanisms: such as international authorities or treaty-based bodies that monitor high-capability AI development, rather than leaving each actor to self-regulate.
- Alignment with broad human values: the governance must reflect not just the interests of a narrow set of actors, but a pluralistic global perspective, safeguarding human dignity, equity and agency.
The article also emphasises that governance is not just about top-down regulation, but about multi-stakeholder processes: involving developers, users, impacted communities, and specialists in ethics, law and technology. It warns that unless governance is inclusive, superintelligent systems could exacerbate power asymmetries: those with access to advanced AI could dominate geopolitically, economically and socially. Thus collaboration is both ethical and strategic.
In conclusion, the piece suggests that if humanity hopes to safely navigate the arrival of superintelligence, the laws we create must be as ambitious and novel as the technologies themselves — not just regulation of tools, but governance of a new domain. The invitation is to design frameworks now, before superintelligence emerges, so that control, accountability and purpose are built in rather than retrofitted.
