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ORCIDChinasa T. Okolo
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2020 – today
- 2024
[j2]Chinasa T. Okolo
, Dhruv Agarwal, Nicola Dell, Aditya Vashistha:
"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. 8(CSCW1): 1-28 (2024)- [c8]Chinasa T. Okolo, Hongjin Lin:
"You can't build what you don't understand": Practitioner Perspectives on Explainable AI in the Global South. CHI Extended Abstracts 2024: 11:1-11:10 - [c7]Chinasa T. Okolo, Hongjin Lin:
Explainable AI in Practice: Practitioner Perspectives on AI for Social Good and User Engagement in the Global South. EAAMO 2024: 9:1-9:16 - [c6]Chinasa T. Okolo:
Beyond AI Hype: A Hands-on Workshop Series for Enhancing AI Literacy in Middle and High School Students. RESPECT 2024: 86-93 - [i7]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 Gürsoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo:
Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR abs/2403.01628 (2024) - [i6]Kadijatou Diallo, Jonathan Smith, Chinasa T. Okolo, Dorcas Nyamwaya, Jonas Kgomo, Richard Ngamita:
Case Studies of AI Policy Development in Africa. CoRR abs/2403.14662 (2024) - [i5]Chinasa T. Okolo:
African Democracy in the Era of Generative Disinformation: Challenges and Countermeasures against AI-Generated Propaganda. CoRR abs/2407.07695 (2024) - [i4]Hongjin Lin, Naveena Karusala, Chinasa T. Okolo, Catherine D'Ignazio, Krzysztof Z. Gajos:
"Come to us first": Centering Community Organizations in Artificial Intelligence for Social Good Partnerships. CoRR abs/2409.06814 (2024) - 2023
- [c5]Chinasa T. Okolo:
The Promise and Perils of Generative AI: Case Studies in an African Context. AfriCHI 2023: 266-270 - [c4]Chinasa T. Okolo:
Navigating the Limits of AI Explainability: Designing for Novice Technology Users in Low-Resource Settings. AIES 2023: 959-961 - [c3]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:
Machine Learning for Health (ML4H) 2023. ML4H@NeurIPS 2023: 1-12 - [i3]Chinasa T. Okolo:
Towards a Praxis for Intercultural Ethics in Explainable AI. CoRR abs/2304.11861 (2023) - 2022
- [j1]Chinasa T. Okolo:
Optimizing human-centered AI for healthcare in the Global South. Patterns 3(2): 100421 (2022) - [c2]Chinasa T. Okolo, Nicola Dell, Aditya Vashistha:
Making AI Explainable in the Global South: A Systematic Review. COMPASS 2022: 439-452 - 2021
- [c1]Chinasa T. Okolo, Srujana Kamath, Nicola Dell, Aditya Vashistha:
"It cannot do all of my work": Community Health Worker Perceptions of AI-Enabled Mobile Health Applications in Rural India. CHI 2021: 701:1-701:20 - [i2]Alan Chan, Chinasa T. Okolo, Zachary Terner, Angelina Wang:
The Limits of Global Inclusion in AI Development. CoRR abs/2102.01265 (2021) - 2020
- [i1]Chinasa T. Okolo:
AI in the "Real World": Examining the Impact of AI Deployment in Low-Resource Contexts. CoRR abs/2012.01165 (2020)
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