Ethical Usage of AI for Efficient Evaluation

The Government of India has increasingly emphasized evidence-based decision-making and outcome-oriented governance to improve the effectiveness of public welfare schemes and development programmes. In this context, AI offers significant potential to strengthen the monitoring and evaluation (M&E) ecosystem by enabling faster data processing, predictive analytics, real-time monitoring, and improved targeting of beneficiaries. It is believed that AI tools can support ministries, implementing agencies, and M&E institutions in analyzing large datasets generated through schemes implementations and surveys. At the Implementation level, by automating routine analytical tasks and examining large volumes of MIS data, AI can help identify inconsistencies, data anomalies, duplicate beneficiary records, reporting errors, and gaps in scheme implementation, thereby strengthening transparency and accountability in scheme monitoring and subsequently supporting the accuracy and reliability of existing evaluation systems.

The usage of AI tools in evaluation processes has become increasingly important as various institutions, including Governments, seek to improve efficiency, transparency, and effectiveness in assessment systems. It has been established that AI tools can support evaluators by automating repetitive tasks, analyzing large volumes of data, and identifying patterns. At the same time, the use of AI in government scheme evaluation must adhere to strong ethical and governance principles to ensure inclusion, fairness, accountability, and transparency. Since evaluations often involve sensitive beneficiary data, robust safeguards for privacy, data protection, and informed use of information are essential. It is of a view that AI systems should be designed and periodically audited to minimize algorithmic bias that may adversely affect vulnerable or marginalized groups. Clear and transparent use of AI tools, along with continued human supervision in decision-making, is essential to ensure fairness, accountability, and inclusiveness in scheme evaluations. Furthermore, evaluators and government officials must be adequately trained to understand the limitations and responsible application of AI tools. A balanced approach that combines the use of AI tools with proper ethical safeguards can improve the quality, reliability, and fairness of evaluations of Government of India schemes, while also promoting good governance and citizen-focused administration.