Meeting emerging AI safety standards requires expensive audits, compute resources, and specialized legal expertise. For developers in the Global South, these costs act as a barrier to entry. To fix this, we need targeted financial instruments like compliance grants or tax credits specifically designed for startups in emerging economies. Governments and international bodies could provide subsidized access to high-performance computing (HPC) clusters, reducing the overhead of stress-testing models.
We should also look at collective models. Small firms can form compliance cooperatives to share the costs of third-party audits and technical documentation. Instead of every startup hiring their own legal team to navigate complex frameworks like the EU AI Act, they could pool resources. Open-source safety toolkits and standardized datasets also help. If researchers provide modular, pre-certified safety modules, developers won't have to build every safeguard from scratch.
Lastly, multilateral development banks should integrate AI safety readiness into their existing tech-transfer programs. By treating safety compliance as a piece of public infrastructure rather than a private luxury, we prevent a digital divide where only wealthy, Western-centric firms can operate legally.
