AI and Data Mining: A New Frontier in Social Service Eligibility Testing [Video]

In the rapidly evolving landscape of government services, a groundbreaking approach is emerging that promises to transform how social welfare programs determine eligibility. Venkatarama Reddy Kommidi, a researcher with expertise in advanced analytics, has developed an innovative framework that harnesses the power of artificial intelligence (AI) and data mining to revolutionize social service administration.

The Growing Challenge of Manual Eligibility ProcessesTraditional eligibility testing for social services has long been a complex and error-prone process. Human caseworkers face significant challenges with millions of applications processed annually and intricate rules governing program access. The current system needs to work on diverse household compositions, variable income levels, and constantly changing policy requirements. Manual processing leads to backlogs, inconsistent decisions, and delays in critical aid distribution. Additionally, applicants often face burdensome documentation requirements and lengthy wait times, which can deter eligible individuals from seeking assistance. The complexity of verification procedures, combined with limited administrative resources, create bottlenecks that impact both efficiency and accuracy. Language barriers …