Artificial Intelligence Strategy : The Independent Evaluation Group’s Journey of Discovery

Overview & Synopsis

The Independent Evaluation Group’s (IEG) Artificial Intelligence (AI) strategy marks an important milestone in its journey of continuous experimentation, learning, and adaptation to integrate AI in evaluation. It reaffirms IEG's commitment to scale up the use of AI, deliberately and ambitiously, and its vision to set a global benchmark for producing and brokering high-quality, AI-enabled evaluative evidence. 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 and the IEG will pursue to achieve them. The strategy proposes a novel way of 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.