UKRI AI Centre for Doctoral Training in Designing Responsible Natural Language Processing

Description

The UKRI AI Centre for Doctoral Training in Designing Responsible Natural Language Processing is based at the University of Edinburgh, delivered through the Edinburgh Futures Institute together with the School of Informatics, the Institute for Design Informatics, the School of Philosophy, Psychology and Language Sciences, Edinburgh College of Art and Edinburgh Law School. It trains cohorts of PhD researchers to design natural language processing responsibly, covering data and model practices, explainability, human-NLP interaction, governance and accountability, and participatory design methods. The centre was announced in November 2023 and welcomed its first cohort in September 2024, with a second cohort following in September 2025 and further studentships open for 2026. It works with a wide network of academic, industry, public sector and policy placement partners across the UK and internationally, and continues the work of the University's earlier UKRI Centre for Doctoral Training in Natural Language Processing.

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Currently active

Yes

Offers funding

No, this infrastructure does not provide funding.

Founding year

2023

Contact details

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Categorisation

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University affiliation(s)

University of Edinburgh
Edinburgh

Partner Infrastructures

Historic Environment Scotland (HES)

Historic Environment Scotland is the lead public body set up to investigate, care for and promote Scotland’s historic environment. It ensures the historic environment is cared for, valued and en… read more about Historic Environment Scotland (HES)

Edinburgh

The National Archives

The National Archives collect and secure the future of the government record, from Shakespeare’s will to tweets from Downing Street, to preserve it for generations to come, making it as accessib… read more about The National Archives

Richmond

Additional Partnerships

Jisc; SICSA; BBC Research and Development; Ofcom; National Library of Scotland; CENSIS; Smart Data Foundry; Department for Culture, Media and Sport; Defence Science and Technology Laboratory; Police Scotland; Public Health Scotland; British Standards Institution; Amazon; Cohere; Inria; Carnegie Mellon University; Aalto University; Monash University; University of California, Berkeley