What is the state of trust in digital environments and applications (including data-processing applications such as AI)? How does this influence use of and investment in data infrastructure? 

Background

In order to achieve these missions, DP must build upon the research and evidence that informs its knowledge base and underpins its policies. Below articulates the directorate’s critical policy issues and questions identified in response to the NDS missions. Key focus areas include defining and monitoring the data ecosystem and economy, generating evidence for intervention and understanding the impacts of policies.

DSIT is committed to improving data sharing. The NDS Mission 1 Policy Framework outlines the principles for intervention and priority areas for action for unlocking data value. Addressing the barriers to optimal data use and reuse is an important area of interest.

The government has held a consultation on reforms to the UK’s data protection regime. The approach for data protection change is set out in the documentation for a new data direction. DP is working to ensure that UK GDPR, the ICO and other parts of the data protection regime are fit for purpose. Evidence relating to privacy and trust in data and data use and the impacts of data regulation would help to address some of the directorate’s key questions.

DP wants to broaden its understanding of data infrastructure and strengthen its evidence base on data centres, cyber security and resilience. The environmental impacts of data use is a key area of research interest.

It is important to advance our knowledge of international data flows and how they shape and influence the global data system. Addressing the evidence gap on the value of data flows as well as the volume of data is of key interest.

Next steps

If you are keen to register your interest in working and connecting with DSIT Digital Technology and Telecoms Group and/or submitting evidence, then please complete the DSIT-ARI Evidence survey - https://dsit.qualtrics.com/jfe/form/SV_cDfmK2OukVAnirs.
Please view full details: https://www.gov.uk/government/publications/department-for-science-innovation-and-technology-areas-of-research-interest/dsit-areas-of-research-interest-2024

Source

This question was published as part of the set of ARIs in this document:

DSIT Areas of Research Interest 2024 GOV UK

Related UKRI funded projects


  • Digital Technologies ActiNg as a Gatekeeper to information and data flOws

    TANGO will establish a stronger cross-sector data sharing, in a citizen-centric, secure and trustworthy manner, by developing innovative solutions while addressing environmental degradation and climate change challenges....

    Funded by: Horizon Europe Guarantee

    Lead research organisation: UNIVERSITY OF GREENWICH

    Why might this be relevant?

    Partially relevant as it focuses on data sharing and environmental impacts, but does not directly address trust in digital environments.

  • Data Release - Trust, Identity, Privacy and Security

    The Open Data Initiative (ODI) demonstrates that there is a growing ambition from government to publish internal data as open data sets. (See https://data.gov.uk). Data custodians, particularly large governmental organis...

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    Why might this be relevant?

    Partially relevant as it addresses trust, privacy, and security in data release, but does not cover the broader state of trust in digital environments.

  • SPRITE+ 2: The Security, Privacy, Identity and Trust Engagement Networkplus (phase 2).

    Digital technologies and services are shaping our lives. Work, education, finance, health, politics and society are all affected. They also raise concomitant and complex challenges relating to the security of and trust i...

    Funded by: EPSRC

    Lead research organisation: University of Manchester

    Why might this be relevant?

    Partially relevant as it focuses on security, privacy, identity, and trust in digital contexts, but does not directly address the influence on data infrastructure.

  • Promoting and Incentivising Federated, Trusted, and Fair Sharing and Trading of Interoperable Data ASsets (PISTIS)

    PISTIS brings forward a reference federated data sharing/trading and monetisation platform for secure, trusted and controlled exchange and usage of proprietary data assets and data-driven intelligence. PISTIS will advanc...

    Funded by: Horizon Europe Guarantee

    Lead research organisation: IMPERIAL COLLEGE LONDON

  • TANGO

    TANGO will establish a stronger cross-sector data sharing, in a citizen-centric, secure and trustworthy manner, by developing innovative solutions while addressing environmental degradation and climate change challenges....

    Funded by: Horizon Europe Guarantee

    Lead research organisation: THE UNIVERSITY OF MANCHESTER

  • Project 101070069 - DataBri-X

    The emergent European Data Economy relies on the availability of data as a basis for further innovation and exponential development of technologies, especially the development of trustworthy ‘made in Europe’ AI that refl...

    Funded by: Horizon Europe Guarantee

    Lead research organisation: OXFORD SEMANTIC TECHNOLOGIES LIMITED

  • SPRITE+: The Security, Privacy, Identity, and Trust Engagement NetworkPlus

    SPRITE+ is a NetworkPlus that will deliver a step change in engagement between people involved in research, practice, and policy relevant to trust, identity, privacy, and security (TIPS) with a focus on digital contexts....

    Funded by: EPSRC

    Lead research organisation: University of Manchester

  • Databox: Privacy-Aware Infrastructure for Managing Personal Data

    Building privacy, trust and security into the evolving digital ecosystem is broadly recognized as a key societal challenge. Regulatory activities in the US, Europe and Japan are complemented by industry initiatives that ...

    Funded by: EPSRC

    Lead research organisation: Imperial College London

    Why might this be relevant?

    The project focuses on building privacy, trust, and security in digital ecosystems, addressing the state of trust in digital environments and applications.

  • Next generation of Privacy and Security for AI Systems

    The application of Artificial Intelligence (AI) models to all parts of the economy is exponentially expanding. The technology and infrastructure to gather, process and make inference from vast quantities of data is enabl...

    Funded by: Innovate UK

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  • An innovative SaaS platform that makes privacy-assured generative AI simple, predicted to save 70% of employee time spent on labour-intensive tasks

    Encloud is a UK-based professional-service, financial-service and finance-technology SME led by Phil Holbrook (project manager), Parth Shukla (technical lead), Igor Lobanov (technical architect), Jack Yan (product lead) ...

    Funded by: Innovate UK

    Lead research organisation: BOND180 LIMITED

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