Next generation artificial intelligence (AI): explainable AI (Grant)

Apply for funding for projects focused on speculative and high-risk fundamental research with the potential to deliver high reward and a step change in the explainability of future AI systems. You must be based at a UK research organisation eligible for UK Research and Innovation funding.

• Opening date: 11 August 2026, 9:00am
• Closing date: 20 October 2026, 4:00pm

Summary

Apply for funding for projects focused on speculative and high-risk fundamental research with the potential to deliver high reward and a step change in the explainability of future artificial intelligence (AI) systems.

Applications are particularly welcomed from early and mid-career UK researchers.

You must be based at a UK research organisation eligible for UK Research and Innovation (UKRI) funding.

The full economic cost (FEC) of your project can be up to £602,500. UKRI will fund 80% of the FEC (£482,000).

Projects must start on 1 February 2027 and last for up to 24 months.

Eligibility

This opportunity is open to organisations with standard eligibility. Check if your organisation is eligible.

Funding for this opportunity is subject to full business case approval.

Who is eligible to apply

To apply you must meet the standard eligibility requirements for UKRI.

Applications are particularly welcome from early and mid-career researchers.

The inclusion of researcher co-leads is encouraged where they have made a substantial intellectual contribution to the development of the application and will be engaged with the ensuing research.

Given the short-term nature of the grant and fixed start date, the project lead (PL) may choose to contribute a greater proportion of their time to the project than is standard. This should be justified and proportional to the activities set out in the proposal.

In line with our equality, diversity and inclusion principles, joint leadership of projects will be allowed. Applicants must agree an administrative lead from an eligible UK research organisation to be the project lead on the application form, and their institution will be responsible for submitting the grant application.

You may be involved in no more than two applications submitted to this funding opportunity. Only one of these can be as project lead.

International researchers

International researchers can only apply as ‘project co‑lead (international)’ as part of an application making use of the UKRI‑RCN Money Follows Cooperation agreement or the UKRI‑IIASA agreement.

You should include all other international collaborators (or UK partners not based at approved organisations) as project partners.

Resubmissions

We will not accept uninvited resubmissions of projects that have been submitted to UKRI or any other funder.

Find out more about EPSRC’s resubmissions policy.

Equality, diversity and inclusion

We are committed to achieving equality of opportunity for all funding applicants. We encourage applications from a diverse range of researchers and organisations.

We support people to work in a way that suits their personal circumstances. This includes:

• career breaks
• support for people with caring responsibilities
• flexible working
• alternative working patterns

UKRI can offer disability and accessibility support for UKRI applicants and grant holders during the application and assessment process.

Objectives

Demand management

Demand management is not currently being applied to this funding opportunity. However, should the level of interest exceed what can be managed within the assessment process, UKRI may introduce additional limits on the number of applications that can be submitted. Further details will be clearly communicated where this is the case. UKRI encourages organisations to support applicants in preparing well‑planned, high‑quality applications that are competitive for funding relative to the funding opportunity.

Aim

This funding opportunity is the first to be delivered under the flagship UKRI IS8 AI Programme. It is a pilot and the first in what is hoped to be (subject to budgets) a series of next‑generation AI funding opportunities spotlighting emerging priorities in response to the UKRI AI Strategic Framework, societal and governmental needs.

Artificial intelligence (AI) is transforming research, industry and public services, but progress is not universal across sectors. Increasing AI explainability could unlock a further wave of innovation with the potential to advance safety, reliability and responsible use. This could underpin the next generation of AI technologies and create new market opportunities.

We are investing up to £10 million over two years into speculative and high‑risk fundamental research with the potential to deliver high reward by enabling a step change in the explainability of future AI systems.

The opportunity aims to:

• support potentially transformative, highly novel, fundamental research with the potential to deliver a step change in the explainability of future AI systems. This would lay the foundations for future societal, economic and technological benefits, including new market opportunities for the UK
• strengthen the UK’s capability to design, develop and deploy explainable AI technologies
• broaden access to strategic AI funding, particularly for new entrants and early and mid‑career researchers in the UK
• enable small‑scale, rapid projects that generate foundational insights which can be built on in the future
• deliver a faster process compared to current standard funding routes, whilst maintaining robust decision making that is proportionate to the level of risk

This opportunity is intended to stimulate creativity within the research community and give researchers time and space to test out speculative ideas. Applicants are advised to strongly consider whether their research idea is truly speculative, high‑risk and could potentially offer high reward before applying.

Projects should:

• aim to disrupt existing areas of explainable AI research or create new ones, delivering research with the potential to lead to radically new and disruptive technologies and a step change in explainability of future AI systems
• adopt a risk tolerant approach utilising ways of working that encourage and enable transformative outcomes rather than incremental advances
• support an ambitious and capable project team with the appropriate breadth and depth of expertise required to achieve the research objectives

Projects are not expected to:

• produce tangible outcomes, such as new AI models or spinouts, within two years
• succeed in all of their research goals, especially the most risky and ambitious
• avoid failure; approaches that do not work as intended can still generate important learning and valuable knowledge for the wider research community

We encourage you to be as adventurous as possible in your thinking. We will support creative and potentially unconventional ways of working. We particularly encourage applications from a broad and diverse range of researchers, including early‑ and mid‑career researchers, to help capture a wider diversity of research excellence, creativity and approaches from across the community to enable more transformative outcomes.

Interdisciplinary approaches are welcome. However, we aim to support research that is working towards a demonstrable impact on AI technology and build the UK’s capacity to design and deploy explainable AI technologies. We will not fund applications that consist of majority non‑technical research such as purely social science, legal, policy or ethical studies.

We will not support incremental work lacking ambition to push the boundaries of AI explainability, nor the continuation of existing projects. We expect applicants to explain why their proposed research cannot be supported via other funding routes (for example, applicant‑led responsive mode or utilising the flexibility afforded by critical mass funding).

Scope: explainable AI

We are taking a broad, problem‑focused approach to remit in this funding opportunity and intend to support applications that address the aims described above. We welcome proposals from a diverse range of research backgrounds, including mathematics, computer science, AI, and other relevant disciplines, and encourage applicants to explore how their expertise can contribute to advancing AI explainability.

Explainable AI research typically seeks to address questions including, but not limited to:

• how AI systems function
• how AI systems can be explained and how those explanations are understood by different audiences
• why AI systems produce particular outputs, behaviours, or decisions

Examples of active areas of explainable AI research include, but are not limited to:

• output reasoning: understanding why an AI model produces a particular output through post‑hoc explanations, such as text‑based explanations, counterfactuals, reasoning about possibilities and probabilities, and explanations tailored to users with different levels of expertise
• mechanistic interpretability: understanding how the internal structure and mechanisms of AI systems give rise to their outputs and behaviours
• process examination: understanding the steps an AI system takes to reach a conclusion, including chain‑of‑thought‑style reasoning, tool use, and interactions between different models or components
• imposed explainability: designing or constraining AI systems to make their operation more interpretable, for example through physics‑informed or otherwise inherently explainable approaches
• uncertainty quantification: assessing and communicating the reliability, confidence, and limitations of AI outputs

There is no expectation that applications will fall within any of the categories listed above. These examples are illustrative rather than prescriptive. We particularly welcome novel and potentially paradigm‑shifting approaches that challenge existing assumptions or extend beyond established areas of explainable AI research.

For more information on the background of this funding opportunity, go to the ‘Additional information’ section.

Team expectations

We expect teams to reflect the required skills and expertise to achieve the proposed plan.

As outlined under ‘Who can apply’, due to the short‑term nature of the grant and fixed start date, the project lead (PL) may choose to contribute a greater proportion of their time to the project than is standard. This should be justified and proportional to the activities set out in the proposal.

Successful applicants are expected to actively engage with two annual workshops that will build a cohort of explainable AI experts, facilitate further research development, and provide information on potential future funding avenues.

Project teams are expected to engage with planned monitoring and evaluation. Full details will be confirmed with successful applicants but is expected to include a survey three months after the grants start, and reports at the end of years one and two.

Joint leadership of projects will be allowed, but applicants must agree an administrative PL responsible for submitting the grant application. Any proposed job‑sharing arrangements should be detailed and justified as part of the ‘Applicant and team capability to deliver’ section of the application and will form part of the assessment criteria.

You may be involved in no more than two applications submitted to this funding opportunity. Only one of these can be as project lead.

Teams must indicate which members will participate in the distributed peer review process, this should include the project lead and a co‑lead if appropriate. As such, applicants can only be involved in two projects, which will help to reduce reviewer load, minimise conflicts and ensure truly speculative ideas are submitted.

Duration

The maximum duration of this award is 24 months.

Projects must start on 1 February 2027.

Funding available

The FEC of your project can be up to £602,500.

UKRI will fund 80% of the FEC. Due to the nature of this funding, no‑cost extensions arising due to non‑people related reasons will not be allowed.

This is a maximum amount not a target. UKRI welcomes smaller proposals as well as larger ones. All costs must be fully justified and proportionate to the ambition of the project.

What we will fund

We will fund:

• contribution to the salary of the project lead and co‑leads
• research, technical and project management staff
• research consumables including compute costs
• travel and subsistence, including that related to cohort management activities such as the annual workshop and networking
• data preservation, data sharing and dissemination
• estates and indirect costs

What we will not fund

We will not fund:

• PhD studentship costs
• equipment with a value over £25,000 per item (including VAT). Smaller items of equipment (individually under £25,000) should be in the ‘Directly incurred – other costs’ heading

EPSRC’s approach to equipment funding is applicable for this funding opportunity.

EPSRC standard guidance on intellectual property applies to projects supported by this funding opportunity.

Successful projects from this opportunity which show promise can seek further funding afterwards through the current routes, for example, standard mode proposals or fellowships.

Supporting skills and talent

We encourage you to follow the principles of the Concordat to Support the Career Development of Researchers and the Technician Commitment.

Trusted Research and Innovation (TR&I)

UKRI is committed in ensuring that effective international collaboration in research and innovation takes place with integrity and within strong ethical frameworks. Trusted Research and Innovation (TR&I) is a UKRI work programme designed to help protect all those working in our thriving and collaborative international sector by enabling partnerships to be as open as possible, and as secure as necessary. Our TR&I Principles set out UKRI’s expectations of organisations funded by UKRI in relation to due diligence for international collaboration.

As such, applicants for UKRI funding may be asked to demonstrate how their proposed projects will comply with our approach and expectation towards TR&I, identifying potential risks and the relevant controls you will put in place to help proportionately reduce these risks.

See further guidance and information about TR&I, including where applicants can find additional support.

Dates

Assessment process

We reserve the right to alter the following process if this opportunity is oversubscribed. We will assess your application using the following process.

Distributed peer review

All proposals for the ‘Next generation artificial intelligence (AI): Explainable AI’ funding opportunity will undergo distributed peer review (DPR). In DPR, applicants are also assessors and review other proposals submitted to the same funding opportunity to decide who gets funding. Each application receives up to eight reviews, which are then used to rank each application and make the funding decision. There is no PL response or panel step.

By submitting a proposal, applicants agree to act as reviewers and to have their proposal reviewed by their peers. Please find the DPR rules and guidelines in the Additional information section below. It is important that you read these carefully before applying.

In order to make the application and DPR process more accessible, we are allowing other members of the applicant team to act as peer reviewers, alongside project leads. This will also enable different expertise to be used in the review process. Any additional reviewers to be included in the DPR pool should be explicitly indicated in the ‘Nominate reviewers’ section of the application.

Please note that by submitting a proposal, you accept the following terms and conditions:

• all applicant teams will receive around eight proposals to review
• the reviewer team is expected to carefully read all the assigned proposals, score them and provide feedback to the applicants following the rules and guidelines
• failing to provide the reviews by the deadline will lead to the automatic rejection of the proposal submitted by the given applicant. Exceptions may only be permitted in extenuating circumstances

By using different reviewer pools and an allocation algorithm, proposals will be assigned to reviewers in such a way that scoring an application has no bearing on the ranking of the reviewer’s own application. See the DPR rules and guidelines in the Additional information section below.

The DPR process and outcomes will be evaluated by the Metascience team. You will be approached for feedback following the process.

By applying for this scheme, you are consenting to take part in DPR. Please do not apply for this opportunity if you would prefer not to take part in the DPR process.

UKRI will make the final funding decision. UKRI reserves the right to take a portfolio balancing approach.

For more information on how we prioritise applications for funding please visit How we make decisions.

Principles of assessment

We support the San Francisco declaration on research assessment and recognise the relationship between research assessment and research integrity.

Find out about the UKRI principles of assessment and decision making.

Using generative artificial intelligence (AI) in expert review

Generative AI may be used only for the purpose of language refinement during application assessment. When using generative AI to refine the language of a review, expert reviewers and panellists must ensure that:

• no part of the application being assessed is entered into a generative AI tool
• no personal information from the application is disclosed
• generative AI is not tasked with understanding, summarising or evaluating the application’s content

Expert reviewers and panellists must also:

• comply with relevant intellectual property and data protection legislation
• not take into account or speculate within their assessment whether generative AI has been used to develop the application

For more detail see our policy on the use of generative AI.

We reserve the right to modify the assessment process as needed.

Assessment areas

The assessment areas we will use are:

• vision and approach
• applicant and team capability to deliver
• ethics and responsible research and innovation (RRI)
• resources and cost justification
• risk and reward

Find details of assessment questions and criteria under the ‘Application questions’ heading in the ‘How to apply’ section.

How to apply

Click here to start your application on the UKRI Funding Service https://funding-service.ukri.org/OPP1297/apply/1328

We are running this funding opportunity on the new UKRI Funding Service so please ensure that your organisation is registered. You cannot apply on the Joint Electronic Submissions (Je‑S) system.

The project lead is responsible for completing the application process on the Funding Service, but we expect all team members and project partners to contribute to the application.

Only the lead research organisation can submit an application to UKRI.

To apply

Select ‘Start application’ near the beginning of this Funding finder page.

1. Confirm you are the project lead.
2. Sign in or create a Funding Service account. To create an account, select your organisation, verify your email address, and set a password.
3. Answer questions directly in the text boxes. You can save your answers and come back to complete them or work offline and return to copy and paste your answers. If we need you to upload a document, follow the upload instructions in the Funding Service. All questions and assessment criteria are listed in the How to apply section on this Funding finder page.
4. Allow enough time to check your application in ‘read‑only’ view before sending to your research office.
5. Send the completed application to your research office for checking. They will return it to you if it needs editing.
6. Your research office will submit the completed and checked application to UKRI.

Please be aware that research office and finance teams undertake checks on hosting arrangements and financial eligibility. The ultimate responsibility for ensuring compliance with all opportunity requirements lies with the applicant.

Where indicated, you can also demonstrate elements of your responses in visual form if relevant.

When including images, you must:

• provide a descriptive caption or legend for each image immediately underneath it in the text box (this must be outside the image and counts towards your word limit).
• insert each new image onto a new line.
• use files smaller than 5MB and in JPEG, JPG, JPE, JFI, JIF, JFIF, PNG, GIF, BMP or WEBP format.

Images should only be used to convey important visual information that cannot easily be put into words. The following are not permitted, and your application will be rejected if you include:

• sentences or paragraphs of text
• tables
• excessive quantities of images

A few words are permitted where the image would lack clarity without the contextual words, such as a diagram, where text labels are required for an axis or graph column.

For more guidance on the Funding Service, see:

• how applicants use the Funding Service
• how research offices use the Funding Service
• how reviewers use the Funding Service

References

References should be included within the word count of the appropriate question section. You should use your discretion when including references and prioritise those most pertinent to the application.

Hyperlinks can be used in reference information. When including references, you should consider how your references will be viewed and used by the assessors, ensuring that:

• references are easily identifiable by the assessors
• references are formatted as appropriate to your research
• persistent identifiers are used where possible

General use of hyperlinks

Applications should be self‑contained. You should only use hyperlinks to link directly to reference information. You must not include links to web resources to extend your application. Assessors are not required to access links to conduct assessment or recommend a funding decision.

Generative artificial intelligence (AI)

Use of generative AI tools to prepare funding applications is permitted, however, caution should be applied.

For more information see our policy on the use of generative AI in application and assessment.

Deadline

UKRI must receive your application by 20 October 2026 at 4:00pm UK time.

You will not be able to apply after this time.

Make sure you are aware of and follow any internal institutional deadlines.

Following the submission of your application to this funding opportunity, your application cannot be changed, and submitted applications will not be amended. If your application does not follow the guidance, it may be rejected.

Personal data

Processing personal data

UKRI will need to collect some personal information to manage your Funding Service account and the registration of your funding applications.

We will handle personal data in line with UK data protection legislation and manage it securely. For more information, including how to exercise your rights, read our privacy notice.

Sensitive information

If you or a core team member need to tell us something you wish to remain confidential, email ai.roboticsEPSRC@epsrc.ukri.org

Include in the subject line: [the funding opportunity title; sensitive information; your Funding Service application number].

Typical examples of confidential information include:

• individual is unavailable until a certain date (for example due to parental leave)
• declaration of interest
• additional information about eligibility to apply that would not be appropriately shared in the ‘Applicant and team capability’ section
• conflict of interest for UKRI to consider in reviewer or panel participant selection
• the application is an invited resubmission

For information about how UKRI handles personal data, read UKRI’s privacy notice.

Institutional matched funding

There is no requirement for matched funding from the institutions hosting the project lead, project co‑leads or other staff employed on the application, beyond the standard 20% FEC. Expert reviewers and panels assessing UKRI funding applications must not consider levels of institutional matched funding as a factor on which to base recommendations. Direct and in‑kind contributions from third party project partners are encouraged.

This policy does not remove the need for support from host organisations who must provide the necessary research environment and infrastructure for award‑specific activities funded by UKRI. For example, research facilities, training and development of staff.

Publication of outcomes

Engineering and Physical Sciences Research Council (EPSRC), as part of UKRI, will publish the outcomes of this funding opportunity at EPSRC Funding Applications Outcomes.

If your application is successful, we will publish some personal information on the UKRI Gateway to Research.

Summary

Word limit: 550

In plain English, provide a summary of your application.

We usually make this summary publicly available on external‑facing websites, therefore do not include any confidential or sensitive information. Make it suitable for a variety of readers, for example:

• opinion‑formers
• policymakers
• the public
• the wider research community

Guidance for writing a summary

Clearly describe your proposed work in terms of:

• context
• the challenge the project addresses
• aims and objectives
• potential applications and benefits

Core team

List the key members of your team and assign them roles from the following:

• project lead (PL)
• project co‑lead (UK) (PcL)
• project co‑lead (international) (PcL (I))
• specialist
• professional enabling staff
• research and innovation associate
• technician
• researcher co‑lead (RcL)

Only list one individual as project lead. Joint leads may be named