Publications

You can also find my articles on Google Scholar or ResearchGate.

2024

Chinasa T. Okolo and Hongjin Lin. “Practitioner Perspectives on Model Explainability in AI for Social Good.” Under review, 2024.

Kadijatou Diallo, Jonathan Smith, Chinasa T. Okolo, Dorcas Nyamwaya, Jonas Kgomo, and Richard Ngamita. “African Case Studies in AI Policy Development.” To appear in the Data for Policy Conference, Data & Policy, Cambridge University Press, 2024.

Chinasa T. Okolo. “Reforming Data Regulation to Advance AI Governance in Africa.” Foresight Africa. The Brookings Institution, 2024.

Chinasa T. Okolo, Dhruv Agarwal, Aditya Vashistha, Nicola Dell. “`If it is easy to understand then it will have value’: Examining Perceptions of Explainable AI with Community Health Workers in Rural India.” To appear in the Proceedings of the ACM on Human-Computer Interaction (PACM), Volume 8, Issue CSCW1, Article No. 71, 2024.

2023

Chinasa T. Okolo. “AI in the Global South: Opportunities and challenges towards more inclusive governance.” TechTank. The Brookings Institution, 2023.

Chinasa T. Okolo. “Addressing Global Inequity in AI Development.” In the Handbook of Critical Studies of Artificial Intelligence. Edited by Simon Lindgren. Edward Elgar Publishers, 2023.

Chinasa T. Okolo. “The Promise and Perils of Generative AI: Case Studies in an African Context.” In the African Conference for Human Computer Interaction (AfriCHI), 2023.

Chinasa T. Okolo. “AI Explainability in the Global South: Towards an Inclusive Praxis for Emerging Technology Users.” Dissertation, 2023.

Chinasa T. Okolo. “Towards a Praxis for Intercultural Ethics in Explainable AI.” In the Many Worlds of AI Conference, 2023.

Chinasa T. Okolo and Michelle González Amador. “IAC: A Framework for Enabling Patient Agency in the Use of AI-Enabled Healthcare.” Preprint, 2023.

Chinasa T. Okolo, Kehinde Aruleba, and George Obaido. “Challenges to Effective AI Adoption and Implementation in Africa.” In Responsible AI in Africa - Challenges and Opportunities, pp 35-64. Edited by Kutoma Wakunuma, Damian Eke, and Simi Akintoye. Palgrave Macmillan UK, 2023.

2022

Chinasa T. Okolo, Nicola Dell, and Aditya Vashistha. “Making AI Explainable in the Global South: A Systematic Review.” In the Conference on Computing and Sustainable Societies (COMPASS), 2022.

Chinasa T. Okolo. “Optimizing Human-centered AI for Healthcare in the Global South.” Patterns, 100421. In Cell Press, 2022.

2021

Chinasa T. Okolo, Srujana Kamath, Nicola Dell, and Aditya Vashistha. “`It cannot do all of my work’: Community Health Worker Perceptions of AI-Enabled Mobile Health Applications in Rural India.” In the Conference on Human Factors in Computing Systems (CHI), 2021.

Alan Chan, Chinasa T. Okolo*, Zachary Terner, and Angelina Wang. “The Limits of Global Inclusion in AI Development.” In the Reframing Diversity in AI: Representation, Inclusion & Power Workshop at the AAAI Conference on Artificial Intelligence, 2021.

2020

Chinasa T. Okolo. “AI in the `Real World’: Examining the Impact of AI Deployment in Low-Resource Contexts.” In the Navigating the Broader Impacts of AI Research Workshop at the Annual Conference on Neural Information Processing Systems (NeurIPS), 2020.

Chinasa T. Okolo and Michelle González Amador. “ACIPS: A Framework for Evaluating Patient Perception in the Introduction of AI-enabled Healthcare.” In the Data4Good: Designing for Diversity and Development Workshop at the International Conference on Advanced Visual Interfaces (AVI), 2020.

Ezinne Nwankwo, Chinasa T. Okolo, and Cynthia Habonimana. “Topic Modeling Approaches for Understanding COVID-19 Misinformation Spread in Sub-Saharan Africa.” In the Harvard CRCS Workshop on AI for Social Good, 2020.

Chinasa T. Okolo. “CNN/RNN Approaches for Irregular Pediatric Respiratory Motion Detection.” In the Women in Machine Learning Workshop at the International Conference on Machine Learning (ICML), 2020.

Chinasa T. Okolo. “Automated detection of irregular pediatric breathing movements.” In the Women in Computer Vision Workshop at the IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2020.

Chinasa T. Okolo. “Privacy and Security Implications of mHealth Applications in Sub-Saharan Africa.” In the Cornell Healthcare Review, 2020.