AI Assurance in Global South: A Call for Genuine Inclusion

AI is rapidly reshaping the global landscape, but who gets to decide its path? The AI Impact Summit in New Delhi aimed to answer this question by highlighting the importance of inclusive governance. This was the first international AI summit hosted in the Global South, sending a clear message: AI's future can't be dictated solely by the Global North.

From Discussion to Action

Policymakers are increasingly acknowledging AI's potential to drive economic growth and tackle societal challenges. This shift is evident in initiatives like the US AI Action Plan and the EU AI Continent Action Plan. However, moving beyond high-level principles to measurable outcomes remains essential. The Summit stressed the importance of not just adopting beneficial AI but also mitigating its risks.

Two critical priorities emerged: meaningful participation of civil society in AI governance and strengthening the AI assurance ecosystem. Yet, the affected communities weren't consulted adequately, raising questions about true representation.

Beyond Technical Solutions

The Summit's focus on 'Inclusion for Social Empowerment' and 'Safe and Trusted AI' reminded us that democratizing AI governance requires more than technical tools. It calls for ecosystem-level reform that respects local cultural and institutional realities. Does merely having panel discussions suffice when decisions are made behind closed doors?

Public records obtained by Machine Brief reveal that civil society often remains sidelined during essential negotiations. Accountability requires transparency. Here's what they won't release: actual involvement of the Global South stakeholders in shaping AI policies.

Bridging the Global AI Divide

The Summit also emphasized bridging the Global AI Divide, addressing inequalities between the Global North and South. AI assurance must become an integral part of the AI lifecycle, not a mere afterthought. The affected communities weren't consulted, and their needs often remain unaddressed.

The global AI assurance ecosystem is fragmented, facing challenges like lack of professionalization and insufficient market demand. The system was deployed without the safeguards the agency promised, leaving many countries in the Global South struggling to build domestic AI assurance frameworks.

A concerted multistakeholder effort, involving both developed and developing economies, is essential. Flexible, locally grounded strategies that balance technical rigor with socio-technical sensitivity are the need of the hour.

The India AI Impact Summit was a step in the right direction, but real progress requires sustained engagement beyond New Delhi. It's time for civil society and affected communities to have a meaningful voice in the decisions that shape AI's global future. Accountability requires transparency. Here's what they won't release.