Izwe.ai: Why its important to localize Artificial Intelligence

As the world continues to embrace the advancements in Artificial Intelligence (AI), it is essential to consider the challenges posed by the localization of AI in different cultural and linguistic contexts. In a recent interview with Thembani Phaweni, Data Science and AI Product Leader for Izwe.ai, the complexities of integrating AI into the diverse linguistic landscape of South Africa were highlighted. Phaweni pointed out the significant divide in AI support between dominant languages such as English and the less-supported African languages, emphasizing the need for greater inclusivity in AI development. He discussed the challenges of multi-lingual communication and the importance of addressing issues like code switching to ensure effective AI implementation. Additionally, Phaweni underscored the necessity of developing local data sets and architectures to enhance the performance of AI technologies within the South African context. While acknowledging the financial constraints in funding AI projects in South Africa, he expressed optimism about the potential of technology to uplift marginalized communities and improve access to essential services. Phaweni's vision for the future includes a scenario where individuals can interact with AI technologies in their native languages, ultimately bridging the gap and ensuring that no one is left behind in the era of AI innovation.