Webinar 3 of 3 tomorrow: AI in evaluation is a systems problem, not a tools one
The final gLOCAL Evaluation Week session — why responsible AI in evaluation is an institutional question, not a technical one. 5 June, 2 PM IST.
From Tools to Systems: Rethinking AI Use in Evaluation
gLOCAL Evaluation Week 2026 · Session 3 of 3 · Tomorrow, 5 June · 2:00–3:30 PM IST
The organizations that benefit most from AI won't be the ones with the best tools. They'll be the ones with the best systems.
Over the past decade, organisations adopted new technologies to work faster and decide better. AI is a different kind of shift. It isn’t only changing how work gets done — it’s starting to shape how information flows, how evidence is generated, and how decisions get made.
That moves the real question out of the toolbox and into the institution:
What would it take for AI to strengthen evaluation systems — not just isolated tasks?
How does evidence travel more effectively from data to learning to decision? What role should technology partners, evaluators, funders, and programme teams play in building these systems? And how do we keep human judgment, accountability, and trust at the centre as AI gets more deeply embedded? These aren’t technical questions. They’re institutional ones.
Our third and final gLOCAL Evaluation Week session moves past individual use cases to the systems that make responsible AI adoption possible — the governance, partnerships, capacities, and collaboration needed to build evidence systems that are trustworthy and future-ready.
Because the future of AI in social impact won’t be decided by technology alone. It will be shaped by the institutions, relationships, and decisions that surround it.
What this session digs into:
Why AI adoption is ultimately a systems challenge, not a technology one
How evidence can move more effectively from collection to decision-making
What should stay human in increasingly AI-enabled workflows
The governance and safeguards a trustworthy evidence system needs
The roles of technology partners, evaluators, funders, and implementers in shaping evaluation’s future
What an adaptive, AI-enabled evaluation ecosystem could actually look like in practice
Who should attend: MEL practitioners and evaluators, researchers and consultants, CSR and philanthropy professionals, NGO and programme teams, data and learning specialists — and anyone thinking about where AI in social impact goes next.
This closes our gLOCAL Evaluation Week 2026 series, Evaluation, Evidence, and Trust in the Age of AI.
About gLOCAL Evaluation Week
An annual global knowledge-sharing event that brings together evaluators, researchers, governments, NGOs, funders, academic institutions, and development practitioners — one of the largest global platforms for dialogue on evidence, learning, accountability, and social impact.
About 4th Wheel Social Impact
Founded in 2010, 4th Wheel works with funders, NGOs, and government partners across India and South Asia on impact strategy, MEAL systems, and evaluation. We focus on building evidence systems that are field-grounded, methodologically rigorous, and useful to the people making decisions.
Warmly,
4th Wheel Social Impact Team