GOVERNMENT OF INDIA
| S. No. | Title of DMEO’s Session in gLocal 2026 | Date & Time | Registration Link |
|---|---|---|---|
| 1 | “Ethical Usage of AI for Efficient Evaluation” | June 3rd 2026, 11:30 AM | https://docs.google.com/forms/d/e/1FAIpQLSetN1saukklArRJXe9q3SDUbj5IhHbsHpetpvGpR8EfXuAHog/viewform |
OVERVIEW
Glocal Evaluation Week is a knowledge-sharing event where participants from all over the world join events to learn from each other on a variety of topics surfacing in Monitoring & Evaluation (M&E) ecosystems. Convened by the Global Evaluation Initiative (GEI), gLocal supports strengthening national M&E systems and enhancing evidence use in countries. It was launched by the Centers for Learning on Evaluation and Results (CLEARs), a key GEI partner, which continues to organize regional events. GEI emphasizes country-owned efforts aligned with local needs and goals, making knowledge sharing a central mission.
DMEO has been a part of the gLocal initiatives since 2020 wherein webinars are organized jointly with our partners on themes/ areas of mutual interest. These webinars are recorded and widely disseminated over social media by DMEO and other partners. The theme for gLocal 2026 is “Evaluation, Evidence, and Trust in the Age of AI”.
Consonant with the theme of gLocal, DMEO’s session in gLocal 2026 is titled “Ethical Usage of AI for Efficient Evaluation”. Event details are as follows:
Event Details:
- Date: 3rd June
- Mode- Online
- Time: 11:30 AM
Moderator: Dr. Abinash Dash, Director, DMEO, NITI Aayog
Speakers:
- Ms. Astha Kapoor, Co-Founder, Aapti Institute
- Ms. Aditi Singh, Director, Program Management & HR, National e-Governance Division
- Ms. Anusha Sharma, Head, Programme Management Support Unit and Evaluation Expert, UNDP India
- Mr. Anoop Sharma, TPO Evaluation Officer (AI and Data Analytics), IFAD.
Session
Schedule
“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 future potential to strengthen the monitoring and evaluation (M&E) ecosystem by enabling real-time monitoring, faster data processing, and predictive analytics. As AI and ML tools get integrated more in the evaluation systems and processes, what are the safeguards that would be required so that these tools become efficiency enablers.
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, it can automate and examine large volumes of MIS data and identify patterns, identify areas that need strengthening and maintain data privacy and secrecy at the core of such processes. AI tools usage in evaluation processes have become increasingly important as various institutions, including Governments, seek to improve efficiency, transparency, and effectiveness in assessment systems.
AI in government scheme evaluation also has to ascertain that adequate ethical safeguards are in place to ensure that the provisions of various legislations such as DPDP Act, 2023 in India and other rules and regulations are adhered to. Proper ring-fencing of individual information safeguarding privacy, data protection measures for authorized usage and informed use of information are essential.
AI systems need to be periodically reviewed extensively or audited to look into any algorithmic bias. Human-in-the-loop in a machine interacted world needs to be adapted to keep the decision-making processes aligned to context and safeguarded against potential ethical considerations. Capacity building of evaluators, in general, and government officials, in particular, to understand the scope and also the understanding of AI tools would become essential in making ethnically usage of AI tools for efficient evaluations. This theme explores a futuristing potential balanced approach that combines the use of AI tools with proper adequate safeguards to undertake efficient and meaningful evaluations of government schemes.
The session will dwell on adopting a balanced approach that combines the use of AI tools with proper ethical safeguards to improve the quality, reliability, and fairness of evaluations of Government of India schemes.