We need research, guidance and practical tools to ensure that data and AI work for people and society. This blog represents ideas, arguments and strategies that move towards a society in which the benefits of data and AI are justly and equitably distributed, and enhance individual and social wellbeing – independently of the interests of industry and government, but hand in hand with partners across all sectors.

Showing 1–9 of 47 results


Should more public trust in data-driven systems be the goal?

To better understand the limits of public trust in data-driven systems, we need to acknowledge the role that structural inequalities play in shaping trust – and its absence, distrust.

by Helen Kennedy, Professor of Digital Society, University of Sheffield

Hand completing a multiple choice exam.


Can algorithms ever make the grade?

The failure of the A-level algorithm highlights the need for a more transparent, accountable and inclusive process in the deployment of algorithms, to earn back public trust.

by Elliot Jones and Cansu Safak