Chinasa T. Okolo

According to our database, Chinasa T. Okolo authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Case Studies of AI Policy Development in Africa.

Kadijatou Diallo, Jonathan Smith, Chinasa T. Okolo, Dorcas Nyamwaya, Jonas Kgomo, Richard Ngamita

CoRR, 2024

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.

Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gursoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo

CoRR, 2024

2023

Towards a Praxis for Intercultural Ethics in Explainable AI.

Chinasa T. Okolo

CoRR, 2023

Machine Learning for Health (ML4H) 2023.

Stefan Hegselmann, Antonio Parziale, Divya Shanmugam, Shengpu Tang, Kristen Severson, Mercy Nyamewaa Asiedu, Serina Chang, Bonaventure F. P. Dossou, Qian Huang, Fahad Kamran, Haoran Zhang, Sujay Nagaraj, Luis Oala, Shan Xu, Chinasa T. Okolo, Helen Zhou, Jessica Dafflon, Caleb Ellington, Sarah Jabbour, Hyewon Jeong, Harry Reyes Nieva, Yuzhe Yang, Ghada Zamzmi, Vishwali Mhasawade, Van Truong, Payal Chandak, Matthew Lee, Peniel Argaw, Kyle Heuton, Harvineet Singh, Thomas Hartvigsen

Proceedings of the Machine Learning for Health, 2023

Navigating the Limits of AI Explainability: Designing for Novice Technology Users in Low-Resource Settings.

Chinasa T. Okolo

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

The Promise and Perils of Generative AI: Case Studies in an African Context.

Chinasa T. Okolo

Proceedings of the 4th African Human Computer Interaction Conference, 2023

2022

Optimizing human-centered AI for healthcare in the Global South.

Chinasa T. Okolo

Patterns, 2022

Making AI Explainable in the Global South: A Systematic Review.

Chinasa T. Okolo, Nicola Dell, Aditya Vashistha

Proceedings of the COMPASS '22: ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, Seattle, WA, USA, 29 June 2022, 2022

2021

The Limits of Global Inclusion in AI Development.

Alan Chan, Chinasa T. Okolo, Zachary Terner, Angelina Wang

CoRR, 2021

"It cannot do all of my work": Community Health Worker Perceptions of AI-Enabled Mobile Health Applications in Rural India.

Chinasa T. Okolo, Srujana Kamath, Nicola Dell, Aditya Vashistha

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.

Chinasa T. Okolo

CoRR, 2020