Artificial Intelligence (AI) is often regarded as the modern-day equivalent of electricity, powering countless human interactions daily. However, startups and developing nations face a clear disadvantage as Big Tech companies and richer nations dominate the field, especially when it comes to two critical areas: training datasets and computational power.
The global regulatory landscape for AI is highly complex and fragmented along the lines of varied regulations and collaborations between stakeholders in both the private and public sectors. This complexity is further exacerbated by the need to harmonize regulatory frameworks and standards across international borders.
