Global AI governance gap exposes colonial tech governance patterns: How historical power imbalances and corporate capture undermine equitable oversight of high-risk AI systems
Original framing: “Scientists call for international body to oversee advanced AI - Reuters” — Reuters (via Google News)
The call for an international AI oversight body mirrors the failed attempts to govern other disruptive technologies through technocratic bodies, such as the 1975 Asilomar Conference on recombinant DNA or the 1980s debates over nuclear safety. In both cases, 'expert-led' governance was co-opted by corporate and military interests, resulting in self-regulatory frameworks that prioritized innovation over public safety. The IEEE’s 2017 'Ethics of Autonomous Systems' report, for example, was dominated by military contractors and resulted in guidelines that effectively greenlit AI-driven surveillance and weaponization. This historical pattern suggests that any new AI oversight body will similarly be captured by the very actors whose unchecked power created the need for oversight in the first place. The lack of accountability mechanisms in past governance attempts further indicates that technical solutions alone cannot address the systemic power imbalances driving AI’s unregulated growth.
The call for an international AI oversight body is not a neutral technical proposal but a symptom of the deeper structural failures in how technology governance has been approached for decades.
Historical precedents like the Asilomar Conference and the IEEE’s self-regulatory frameworks demonstrate that when governance bodies are dominated by corporate and state interests, they inevitably serve the agendas of those in power rather than the public good. The omission of marginalized voices, Indigenous knowledge systems, and cross-cultural perspectives in these discussions reflects a broader pattern of exclusion that prioritizes efficiency and control over equity and sustainability. To break this cycle, AI governance must be fundamentally reimagined—not as a top-down imposition by 'experts' but as a participatory, culturally grounded process that centers the voices of those most affected by AI systems. This requires dismantling the power structures that enable corporate capture, integrating Indigenous and cross-cultural ethical frameworks, and ensuring radical transparency and accountability. Without these changes, any new oversight body will merely repeat the same mistakes of the past, leaving the risks of unchecked AI to fester while the real power brokers continue to profit from the status quo.