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Research Interests

My primary research interest involves how trust reasoning should be integrated into formal argumentation frameworks for multi-party dialogues to identify and extract the most trustworthy conclusions. Much of my work has focused on meta-argumentation frameworks for multi-party dialogues in which participants consider how much they trust each other and the advanced arguments in order to define their preferences over the arguments, given that arguments (or information that supports the arguments) from more trustworthy sources may be preferred to arguments from less trustworthy sources. At the moment, I am working on trust building AI technologies. In particular, I am investigating the factors that affect trust in the algorithms of online digital platforms and developing  tools that can be used to engender/rebuild trust on these platforms.

Qualifications

B.Sc (Hons) Computer Science, Adekunle Ajasin University, Nigeria 2008.

M.Sc Applied Computing and IT, University of Bedfordshire, UK 2012.

PhD Computing Science, University of Aberdeen, UK 2019.

Biography

Gideon Ogunniye is a Research Associate on ReEnTrust Project at the Artificial Intelligence and its Applications Institute (AIAI), School of Informatics, University of Edinburgh. ReEnTrust is an EPSRC research project (EP/R033633/1) funded under the Trust, Identity, Privacy and Security in the Digital Economy 2.0 (TIPS2) call. The project explores new technological opportunities for platforms to regain user trust and aims to identify how this may be achieved in ways that are user-driven and responsible. The focus is on AI algorithms and large scale platforms used by the general public. Gideon Ogunniye completed his PhD at University of Aberdeen, UK, which was about modelling trust and trust dialogues using augmentation theories. His PhD research was funded by Tertiary Education Trust Fund (TETFund), Nigeria.

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