  As AI becomes integrated throughout the world, its potential for impact
within low-resource regions around the Global South have grown. AI research
labs from tech giants like Microsoft, Google, and IBM have a significant
presence in countries such as India, Ghana, and South Africa. The work done by
these labs is often motivated by the potential impact it could have on local
populations, but the deployment of these tools has not always gone smoothly.
This paper presents a case study examining the deployment of AI by large
industry labs situated in low-resource contexts, highlights factors impacting
unanticipated deployments, and reflects on the state of AI deployment within
the Global South, providing suggestions that embrace inclusive design
methodologies within AI development that prioritize the needs of marginalized
communities and elevate their status not just as beneficiaries of AI systems
but as primary stakeholders.
