All Outputs (4)

Time to consider animal data governance: perspectives from neuroscience (2023)
Journal Article
Eke, D., Ogoh, G., Knight, W., & Stahl, B. (in press). Time to consider animal data governance: perspectives from neuroscience. Frontiers in Neuroinformatics, 17, Article 1233121. https://doi.org/10.3389/fninf.2023.1233121

Introduction: Scientific research relies mainly on multimodal, multidimensional big data generated from both animal and human organisms as well as technical data. However, unlike human data that is increasingly regulated at national, regional and int... Read More about Time to consider animal data governance: perspectives from neuroscience.

Forgotten African AI Narratives and the future of AI in Africa (2022)
Journal Article
Eke, D., & Ogoh, G. (2022). Forgotten African AI Narratives and the future of AI in Africa. International Review of Information Ethics, 31(1), https://doi.org/10.29173/irie482

Ancient and contemporary imaginative thoughts, stories, literary works, and beliefs about intelligent machines or otherwise known as AI narratives influence the development, implementation and governance of AI. Responsible AI therefore requires the u... Read More about Forgotten African AI Narratives and the future of AI in Africa.

Understanding the perceptions of UK COVID-19 contact tracing app in the BAME community in Leicester (2021)
Journal Article
Akintoye, S., Ogoh, G., Krokida, Z., Nnadi, J., & Eke, D. (2021). Understanding the perceptions of UK COVID-19 contact tracing app in the BAME community in Leicester. Journal of Information, Communication and Ethics in Society, 19(4), 521-536. https://doi.org/10.1108/jices-06-2021-0071

Purpose Digital contact tracing technologies are critical to the fight against COVID-19 in many countries including the UK. However, a number of ethical, legal and socio-economic concerns that can affect uptake of the app have been raised. The purpo... Read More about Understanding the perceptions of UK COVID-19 contact tracing app in the BAME community in Leicester.

Pseudonymisation of neuroimages and data protection: Increasing access to data while retaining scientific utility (2021)
Journal Article
Eke, D., Aasebø, I. E., Akintoye, S., Knight, W., Karakasidis, A., Mikulan, E., …Zehl, L. (2021). Pseudonymisation of neuroimages and data protection: Increasing access to data while retaining scientific utility. NeuroImage: Reports, 1(4), Article 100053. https://doi.org/10.1016/j.ynirp.2021.100053

For a number of years, facial features removal techniques such as ‘defacing’, ‘skull stripping’ and ‘face masking/blurring’, were considered adequate privacy preserving tools to openly share brain images. Scientifically, these measures were already a... Read More about Pseudonymisation of neuroimages and data protection: Increasing access to data while retaining scientific utility.