Artificial Intelligence and Computer Vision are being integrated to aid in social support and care services.
In a recent announcement, Olzhas Anafin, a notable figure in Kazakhstan's social sector, unveiled a new approach to determining eligibility for targeted social assistance. This innovative strategy employs artificial intelligence (AI) through a mobile app called FSM Social.
The AI approach, as outlined by Anafin, is not intended to replace human workers in this process. Instead, it aims to supplement their efforts, increasing objectivity and transparency in benefit allocation.
Anafin believes that this AI-driven system will significantly reduce human error, leading to a more accurate determination of eligibility for benefits. The goal is to ensure that those who truly need assistance receive it, while minimising the risk of errors or oversights.
The AI approach also aims to impact the labour market in Kazakhstan. By streamlining the process of determining eligibility for social assistance, it is hoped that more resources can be directed towards other areas of labour market regulation.
It's worth noting that the AI approach, as discussed by Anafin, does not affect the distribution of other forms of social security. Nor does it specify a temporary solution for benefit eligibility determination.
The process employed by FSM Social utilises computer vision, a technology that allows the app to analyse images and make decisions based on the data it collects. This technology is expected to contribute to the future use of computer vision in social support.
However, the organization that developed FSM Social is not explicitly mentioned in the provided search results. Despite this, the potential benefits of this AI-driven approach to social assistance are clear, with the promise of increased accuracy, transparency, and objectivity in benefit allocation.
