Outputs (28)

A labeled Clinical-MRI dataset of Nigerian brains (2025)
Journal Article
Wogu, E., Filima, P., Caron, B., Deabler, D., Herholz, P., Leal, C., Mehboob, M. F., Kim, S., Gosain, A., Flexwala, A., Hayashi, S., Akintoye, S., Ogoh, G., Godwin, T., Eke, D., & Pestilli, F. (2025). A labeled Clinical-MRI dataset of Nigerian brains. Scientific Data, 12(3), Article 518. https://doi.org/10.1038/s41597-025-04743-0

There is currently a paucity of neuroimaging data from the African continent, limiting the diversity of data from a significant proportion of the global population. This in turn diminishes global health research and innovation. To address this issue,... Read More about A labeled Clinical-MRI dataset of Nigerian brains.

FAIR African brain data: challenges and opportunities (2025)
Journal Article
Wogu, E., Ogoh, G., Filima, P., Nsaanee, B., Caron, B., Pestilli, F., & Eke, D. (2025). FAIR African brain data: challenges and opportunities. Frontiers in Neuroinformatics, 19, Article 1530445. https://doi.org/10.3389/fninf.2025.1530445

Introduction: The effectiveness of research and innovation often relies on the diversity or heterogeneity of datasets that are Findable, Accessible, Interoperable and Reusable (FAIR). However, the global landscape of brain data is yet to achieve desi... Read More about FAIR African brain data: challenges and opportunities.

Responsible Generative AI for SMEs in UK and Africa Case Study Cocreation Workshop Report (2025)
Report
Ochang, P., Eke, D., Stahl, B., Cameron, H., Buckley, M., Poder, I., & Rodrigues, R. (2025). Responsible Generative AI for SMEs in UK and Africa Case Study Cocreation Workshop Report. ESPRC and RAI UK

The University of Nottingham hosted a co-creational workshop from 29th to 31st January at the Jubilee Hotel & Conference facilities, bringing together participants from the RAISE project’s case studies across the UK and Africa. The workshop focused o... Read More about Responsible Generative AI for SMEs in UK and Africa Case Study Cocreation Workshop Report.

Trustworthy AI: African Perspectives (2025)
Book
Eke, D. O., Wakunuma, K., Akintoye, S., & Ogoh, G. (Eds.). (2025). Trustworthy AI: African Perspectives. Palgrave Macmillan. https://doi.org/10.1007/978-3-031-75674-0

This book is an Open Access Publication. The Guidelines for Trustworthy AI developed by the European Commission High-Level Expert Group on AI is a framework that has been developed to promote and achieve the trustworthiness of AI systems. It provides... Read More about Trustworthy AI: African Perspectives.

Small and medium enterprises will use generative AI. But how can they be helped to implement it properly? (2024)
Report
Ochang, P., Eke, D., Stahl, B., Buckley, . M., Poder, I., & Hughes, J. (2024). Small and medium enterprises will use generative AI. But how can they be helped to implement it properly?. ESPRC and RAI UK

Generative AI is changing the way our economies and businesses operate, and SMEs could be receiving more benefits from this transition. Over the past 12 months in the Responsible Generative AI for SMEs in UK and Africa (RAISE) project we have been wo... Read More about Small and medium enterprises will use generative AI. But how can they be helped to implement it properly?.

Responsible Generative AI for SMEs in UK and Africa (RAISE) : First Virtual Human Centric Design Workshop Report (2024)
Report
Ochang, P., Stahl, B., Eke, D., & Cameron, H. Responsible Generative AI for SMEs in UK and Africa (RAISE) : First Virtual Human Centric Design Workshop Report. ESPRC and RAI UK

On the 1st of July 2024, the Responsible Generative AI for SMEs in the UK and Africa (RAISE) project hosted its inaugural workshop, bringing together small and medium-sized enterprises (SMEs) from the United Kingdom and Africa. The workshop focused o... Read More about Responsible Generative AI for SMEs in UK and Africa (RAISE) : First Virtual Human Centric Design Workshop Report.

Ethics and Governance of Neurotechnology in Africa: Lessons From AI (2024)
Journal Article
Eke, D. (2024). Ethics and Governance of Neurotechnology in Africa: Lessons From AI. JMIR Neurotechnology, 3, Article e56665. https://doi.org/10.2196/56665

As a novel technology frontier, neurotechnology is revolutionizing our perceptions of the brain and nervous system. With growing private and public investments, a thriving ecosystem of direct-to-consumer neurotechnologies has also emerged. These tech... Read More about Ethics and Governance of Neurotechnology in Africa: Lessons From AI.

Africa, ChatGPT, and Generative AI Systems: Ethical Benefits, Concerns, and the Need for Governance (2024)
Journal Article
Wakunuma, K., & Eke, D. (2024). Africa, ChatGPT, and Generative AI Systems: Ethical Benefits, Concerns, and the Need for Governance. Philosophies, 9(3), Article 80. https://doi.org/10.3390/philosophies9030080

This paper examines the impact and implications of ChatGPT and other generative AI technologies within the African context while looking at the ethical benefits and concerns that are particularly pertinent to the continent. Through a robust analysis... Read More about Africa, ChatGPT, and Generative AI Systems: Ethical Benefits, Concerns, and the Need for Governance.

Perceptions on the Ethical and Legal Principles that Influence Global Brain Data Governance (2024)
Journal Article
Ochang, P., Eke, D., & Stahl, B. C. (2024). Perceptions on the Ethical and Legal Principles that Influence Global Brain Data Governance. Neuroethics, 17(2), Article 23. https://doi.org/10.1007/s12152-024-09558-1

Advances in neuroscience and other disciplines are producing large-scale brain data consisting of datasets from multiple organisms, disciplines, and jurisdictions in different formats. However, due to the lack of an international data governance fram... Read More about Perceptions on the Ethical and Legal Principles that Influence Global Brain Data Governance.

brainlife.io: a decentralized and open-source cloud platform to support neuroscience research (2024)
Journal Article
Hayashi, S., Caron, B. A., Heinsfeld, A. S., Vinci-Booher, S., McPherson, B., Bullock, D. N., Bertò, G., Niso, G., Hanekamp, S., Levitas, D., Ray, K., MacKenzie, A., Avesani, P., Kitchell, L., Leong, J. K., Nascimento-Silva, F., Koudoro, S., Willis, H., Jolly, J. K., Pisner, D., …Pestilli, F. (2024). brainlife.io: a decentralized and open-source cloud platform to support neuroscience research. Nature Methods, 21, 809-813. https://doi.org/10.1038/s41592-024-02237-2

Neuroscience is advancing standardization and tool development to support rigor and transparency. Consequently, data pipeline complexity has increased, hindering FAIR (findable, accessible, interoperable and reusable) access. brainlife.io was develop... Read More about brainlife.io: a decentralized and open-source cloud platform to support neuroscience research.