Chinasa T. Okolo
Orcid: 0000-0002-6474-3378
According to our database1,
Chinasa T. Okolo
authored at least 20 papers
between 2020 and 2025.
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Bibliography
2025
2024
"If it is easy to understand then it will have value": Examining Perceptions of Explainable AI with Community Health Workers in Rural India.
Proc. ACM Hum. Comput. Interact., 2024
"Come to us first": Centering Community Organizations in Artificial Intelligence for Social Good Partnerships.
Proc. ACM Hum. Comput. Interact., 2024
CoRR, 2024
African Democracy in the Era of Generative Disinformation: Challenges and Countermeasures against AI-Generated Propaganda.
CoRR, 2024
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.
CoRR, 2024
Beyond AI Hype: A Hands-on Workshop Series for Enhancing AI Literacy in Middle and High School Students.
Proceedings of the RESPECT Annual Conference, 2024
Explainable AI in Practice: Practitioner Perspectives on AI for Social Good and User Engagement in the Global South.
Proceedings of the 4th ACM Conference on Equity and Access in Algorithms, 2024
"You can't build what you don't understand": Practitioner Perspectives on Explainable AI in the Global South.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024
2023
Proceedings of the Machine Learning for Health, 2023
Navigating the Limits of AI Explainability: Designing for Novice Technology Users in Low-Resource Settings.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023
Proceedings of the 4th African Human Computer Interaction Conference, 2023
2022
Proceedings of the COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, Seattle, WA, USA, 29 June 2022, 2022
2021
"It cannot do all of my work": Community Health Worker Perceptions of AI-Enabled Mobile Health Applications in Rural India.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
2020
AI in the "Real World": Examining the Impact of AI Deployment in Low-Resource Contexts.
CoRR, 2020