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Short abstract:

This empirical study investigates the social and ethical implications of algorithm-based systems in India, focusing on a recent case in the state of Telangana.

Long abstract:

Algorithm-based systems have become increasingly prevalent in various sectors, including social welfare, with the promise of enhancing efficiency and accuracy in decision-making processes. However, the indiscriminate adoption of these systems can lead to unintended consequences, particularly concerning social and ethical implications. This empirical study focuses on the recent case in the Indian state of Telangana, where an algorithm-based system implemented in welfare schemes resulted in the wrongful denial of food to thousands of impoverished individuals.

The study employs a case-study approach to investigate the social and ethical implications of algorithm-based systems in the context of social welfare programs.

The primary objective of this study is to analyze how algorithm-based systems, particularly those utilizing artificial intelligence, contribute to social and ethical problems in the Indian context, using the Telangana case study as a focal point. The study aims to explore the mechanisms through which algorithmic decision-making processes may lead to unintended consequences, such as the wrongful denial of welfare benefits to eligible individuals. Additionally, the research seeks to identify potential strategies for addressing these issues and promoting more responsible and ethical use of algorithm-based systems in social welfare programs.

The study draws upon a variety of data sources, including government documents, reports, and data sets related to the implementation of the algorithm-based system in Telangana's welfare schemes. Additionally, interviews with government officials, welfare recipients, and other stakeholders provide valuable insights into the experiences and perspectives of those affected by the algorithmic decision-making process.