Founders have spent a lot of time over the past few years trying to build practical consumer use cases for AI and machine learning. AI startup Advocate thinks that the tech could help people apply for federal government benefits more easily.
The New York–based startup was founded by Emilie Poteat, who got the idea after watching her stepfather try to get social security benefits. Despite being eligible, it was a complicated process for him to apply and even once he did, he spent months waiting to hear back. Years later, Poteat realized that AI may be able to improve that process.
AI has the potential to contribute to addressing bureaucratic challenges in countries like Ethiopia, but it is not a standalone solution. While AI can automate certain processes, improve efficiency, and reduce human error, it is important to understand the context in which it is implemented and the specific challenges faced by the country.
Bureaucracy in developing countries often involves complex issues such as insufficient infrastructure, lack of resources, low digital literacy, and limited access to technology. These factors can pose significant barriers to the effective implementation of AI solutions.
It is important to view AI as a tool that can augment and support bureaucratic processes rather than a standalone solution. Combining AI with other strategies such as improving governance, strengthening institutions, investing in education and infrastructure, and engaging with local communities can lead to more effective and sustainable solutions to bureaucratic challenges in developing countries like Ethiopia.
Source:TechCrunch
