Data Trust Pilots unveiled!
The Data Trusts Initiative is pleased to introduce our first cohort of data trust pioneers who will be leading the creation of real-world data trusts in 2022.
Policy plays a crucial role in influencing where, how and for whose benefit machine learning systems are developed and deployed. Safe and reliable deployment of machine learning systems requires policy frameworks that embed trustworthy data governance; that promote the use of machine learning in areas where it has potential to improve public wellbeing; and that account for the wider implications of technological change on individuals and communities. Research in this theme considers what policy levers can shape the development of AI technologies.
What policy levers can shape the development of AI technologies for societal benefit?
ML@CL’s policy projects identify policy interventions that can support the development of trustworthy AI technologies and that help share the benefits of AI across society. Working with partners in civil society, national government, and international organisations, our work considers:
Reaping the benefits of data and digital technologies will require robust new institutions or frameworks that can allow data sharing - helping develop new data-enabled products and services - while protecting individual rights and freedoms. Data trusts offer a mechanism to achieve this goal through participatory data stewardship.
The COVID-19 pandemic intensified the need for timely and accurate data to inform policymaking. Countries across Africa have developed, and are still developing, innovative uses of data and statistics to monitor the extent of the spread of COVID-19 among their populations. Drawing from real-world examples, this projects the lessons offered by these innovations for future data policy frameworks.
European Learning and Intelligence Systems Excellence (ELISE) is a consortium of artificial intelligence (AI) research hubs that connects Europe’s leading researchers in machine learning and AI.
DELVE is a multi-disciplinary group, convened by the Royal Society, to support a data-driven approach to learning from the different approaches countries are taking to managing the pandemic. DELVE operated through 2020, providing advice to the UK Government and SAGE.
Executive Director, Accelerate Science, Cambridge University
Data Science Africa Fellow, UN Global Pulse
The DeepMind Professor of Machine Learning, Cambridge University
Project Manager, Data Trusts Initiative, Cambridge University