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Dynamic algorithmic impact assessment to promote an ethical use of AI in businesses

Faculty of Natural Sciences

About the Project

Machine Learning is a highly active area of research and many new artificial intelligence algorithms are already being implemented. However, there are increasing concerns about the impacts, ethics and unintended consequences of many of these implementations. This research will explore these issues and the opportunities for regulation and ethical design principles.

The project will provide an opportunity to pursue world-class multidisciplinary research, provide experience of algorithmic impact assessment and an opportunity for substantial contribution to international publication in leading journals/fora proceedings.
Interested candidates may like to read the following background publication: A Jobin, M Ienca, E Vayena. The global landscape of AI ethics guidelines. In: Nature Machine Intelligence, 1(9), 2019

Research Context: This PhD project will be supervised by Dr Allison Gardner and Dr Marco Ortolani in the Centre for Computer Science Research, Keele University.

Keele University is renowned for its exciting approach to higher education and research, beautiful central England campus, strong community spirit and leading levels on student satisfaction. The University has the UK’s largest campus with 617 acres of landscaped parkland, fields, woodlands and lakes. Keele University runs its own day nursery for infants from 3 months to 5 years and is committed to equality and diversity. Information for prospective postgraduate researchers can be found here:

Applications are welcomed from graduates with good numeracy and computing skills and at least a 2.1 honours degree or equivalent. Applicants should have an enthusiasm for research. They should be self-motivated and have the ability to work both independently and as part of a team.

This opportunity is open to UK/EU and overseas students. The collaborative and presentation aspects of the research require good English language and communication skills. Overseas applicants would therefore require an English IELTS (or equivalent) of 6.0 overall with no less than 5.5 in any subtest.

Please go to for information about application.

Applications are welcome all year around.
Informal enquiries about the project are very welcome by email to Dr Allison Gardner () and Dr Marco Ortolani (). Full applications should be submitted via: Please quote FNS GS 2020-09 on your application.

Keele University values diversity, and is committed to ensuring equality of opportunity. In support of these commitments, Keele University particularly welcomes applications from women and from individuals of black and ethnic minority backgrounds for this post. The School of Computing and Mathematics and Keele University have both been awarded Athena Swan awards and Keele University is a member of the Disability Confident scheme. More information is available on these web pages:

Funding Notes

This opportunity for self-funded applicants only
(for example, international students with government or industry sponsorship and UK students with Doctoral Loan funding: View Website).

Please note that self-funded applicants must provide funding for both tuition fees and living expenses for the 3 year duration of the research. There is a future possibility of competitive scholarship awards for outstanding applicants (1st class honours), however, none are currently available.
For information regarding University tuition fees please see: View Website

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