Working Paper Launch: Responsible AI in Education Evidence Synthesis and Use in LMICs
Date: Wednesday, 4 February 2026
Time: 9:00-10:00 am (ET)
Location: Online
Join the public launch of a new BE² working paper examining Artificial Intelligence (AI), evidence synthesis, and evidence use in education systems in low- and middle-income countries (LMICs).
AI is already changing how education evidence is found, screened, summarised, translated, and used. The opportunity is real: faster synthesis and more accessible insights for decision-makers. The risks are also real: confident inaccuracies, hidden bias, and evidence workflows that become harder to trust.
As AI becomes more common in literature reviews and evidence synthesis, they’ll share concrete examples of:
- Where AI can responsibly speed up secondary research and evidence uptake
- Where AI introduces unacceptable risk
- What “good QA” looks like when AI is used for screening, summarising, extraction, and drafting
This paper is a practical guide for funders, researchers, and decision-makers on how to use AI to find, summarise, and improve the use of what they know about what works in education, and to do it responsibly and equitably.