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Topics and policy

Data and AI

Overview

Data and digital technologies are transforming the way we live, work and learn. The Royal Society’s Data Programme is developing policy and promoting debate that helps the UK safely and rapidly realise the growing benefits of data science and digital technologies.

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Reports and publications

Read or download all our reports, publications and consultation responses.

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Dynamics of data science skills

New research illustrates the increased demand for data science skills in the job market, and sets out mechanisms that can help build a stronger talent pipeline.

Digital disruption

The digital disruption programme explores the ways individuals, communities, and societies can best negotiate the transformations brought about by data and digital technologies.

Artificial intelligence

The Royal Society’s AI programme explores the frontiers of AI technologies, and their implications for individuals, communities, and societies.

Latest from our blog

Our analysis and advice

  • Machine learning: what do the public think?

    A summary of the findings from a public dialogue exercise on machine learning, carried out during 2016 in conjunction with Ipsos MORI, as a key part of the Royal Society machine learning programme of work.

    Read our summary

  • Machine learning: can machines really learn?

    An interactive infographic about machine learning.

    Explore the infographic

  • Privacy Enhancing Technologies

    How can technologies help organisations and individuals protect data and, at the same time, unlock opportunities for data access and use?

    Read the report

  • AI narratives

    The AI narratives project has examined which narratives influence public debates about AI, and how these portrayals might shape public perceptions of the capabilities, risks, and benefits of AI technologies.

    Read the report

  • Data ownership, rights and controls

    A report from discussions at a British Academy, Royal Society and techUK seminar on 3 October 2018.

    Read the report

  • Data management and use: Governance in the 21st Century

    A review on the needs of a 21st century data governance system by the Royal Society and the British Academy. 

    Read our report

Also of interest

Fellows working in this area

Professor Peter Donnelly

Peter Donnelly is Professor of Statistical Science and Director of the Wellcome Trust Centre for Human Genetics at the University of Oxford. A major focus of Peter’s research work is the development and appli¬cation of sophisticated statistical methods for the analysis of the vast datasets arising in modern genetic studies. Peter is the Chair of the Royal Society’s Machine Learning Working Group. He is CEO and founder of Genomics plc, a company developing and applying advanced analysis and algorithms to large datasets linking genetic variation with human traits and diseases to understand human biology, and improve human health and healthcare.

Professor Dame Wendy Hall

Wendy Hall is a leading computer scientist who has made significant contributions to our understanding of the interactions between humans and large networks of computers, such as the internet. Consequently, Wendy is playing a prominent role in the development of web science as an emerging discipline.

Wendy Hall is a member of the Royal Society and British Academy Data Governance Working Group.  She co-led a review on artificial intelligence for HM Government.

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