This paper seeks to unpack the emergent relationship between open data and generative AI. The authors provide a range of scenarios in which open data and generative AI could intersect, and outline how open data providers and other interested parties can help make open data 'ready' for those specific scenarios.

Much has already been written about artificial intelligence (AI) - what it is and is not, its risks and opportunities and key considerations that must be made as the technology is developed and deployed. This paper aims to go a layer deeper, to diagnose and examine problems with AI purchasing in government.

The rapid growth of cities and advances in data has led to the growing adoption of artificial intelligence and other automated systems in cities across the world. This report aims to serve as a primer for policy-makers and practitioners to learn about current governance and regulatory practices and inspire their own work in the field.

The GovLab, with the support of the Knight Foundation, recently sought to evaluate how non-traditional data was used to respond to the COVID-19 pandemic. The research identifies lessons and recommendations that can be applied to future data-driven crisis management.

Based on an open call for evidence, this report assesses how open government data (OGD) was used to react and respond to the COVID-19 pandemic during initial stage of the crisis (March-July 2020). It also seeks to transform lessons learned into considerations for policy-makers on how to improve OGD policies to better prepare for future...