The strategy aims to create broader ownership of this effort and a more consistent adoption of these innovative practices across IEG units and teams. It also offers IEG's partners and stakeholders clarity on the strategy's ambitious objectives and the pathways IEG will pursue to achieve them. 

The strategy proposes a novel way of governing IEG's adoption of AI that places practical ethics, peer governance principles, and adherence to strong values at its core. It underscores that IEG's use of AI must be anchored in the fundamental principles of high-quality evaluation, ensuring that quality and rigor are never compromised. 

The AI strategy reflects both the explicit and the tacit knowledge accrued during years of trial and error, exploration, and collective learning across a range of applications. It builds on strong networks and renewed ways of working together in interdisciplinary teams, with data scientists and analysts playing an increasingly pivotal role.