| “It cannot do all of my work”: Community Health Worker Perceptions of AI-enabled Mobile Health Applications in Rural India CT Okolo, S Kamath, N Dell, A Vashistha Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021 | 66 | 2021 |
| Making AI explainable in the global south: A systematic review CT Okolo, N Dell, A Vashistha Proceedings of the 5th ACM SIGCAS/SIGCHI Conference on Computing and …, 2022 | 27 | 2022 |
| The Limits of Global Inclusion in AI Development A Chan, CT Okolo, Z Terner, A Wang arXiv preprint arXiv:2102.01265, 2021 | 25 | 2021 |
| Responsible AI in Africa—Challenges and opportunities CT Okolo, K Aruleba, G Obaido Responsible AI in Africa: Challenges and opportunities, 35-64, 2023 | 24 | 2023 |
| Optimizing Human-centered AI for Healthcare in the Global South CT Okolo Patterns 3 (2), 2022 | 17 | 2022 |
| Towards a praxis for intercultural ethics in explainable AI CT Okolo arXiv preprint arXiv:2304.11861, 2023 | 8 | 2023 |
| Topic Modeling Approaches for Understanding COVID-19 Misinformation Spread in Sub-Saharan Africa E Nwankwo, CT Okolo, C Habonimana Proceedings of the AI Social Good Workshop; Harvard University: Cambridge …, 2020 | 8 | 2020 |
| "If it is easy to understand then it will have value”: Examining Perceptions of Explainable AI with Community Health Workers in Rural India CT Okolo, D Agarwal, N Dell, A Vashistha Proceedings of the ACM on Human-Computer Interaction 8 (CSCW1), 2024 | 5 | 2024 |
| Addressing global inequity in AI development CT Okolo Handbook of Critical Studies of Artificial Intelligence, 378-389, 2023 | 5 | 2023 |
| AI in the Global South: Opportunities and challenges towards more inclusive governance CT Okolo Brookings Institution Press. https://www. brookings. edu/articles/ai-in-the …, 2023 | 5 | 2023 |
| AI in the" Real World": Examining the Impact of AI Deployment in Low-Resource Contexts CT Okolo arXiv preprint arXiv:2012.01165, 2020 | 5 | 2020 |
| ACIPS: a framework for evaluating patient perception in the introduction of AI-Enabled healthcare CT Okolo, MG Amador arXiv. Preprint posted online on October 29, 2021, 2021 | 3 | 2021 |
| International Scientific Report on the Safety of Advanced AI Y Bengio, D Privitera, T Besiroglu, R Bommasani, S Casper, Y Choi, ... Department for Science, Innovation and Technology, 2024 | 2 | 2024 |
| AI Explainability in the Global South: Towards an Inclusive Praxis for Emerging Technology Users CT Okolo Cornell University, 2023 | 2 | 2023 |
| Censored 2016: The Top Censored Stories and Media Analysis of 2014-15 M Huff, AL Roth Seven Stories Press, 2015 | 2 | 2015 |
| Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium H Jeong, S Jabbour, Y Yang, R Thapta, H Mozannar, WJ Han, ... arXiv preprint arXiv:2403.01628, 2024 | 1 | 2024 |
| Case Studies of AI Policy Development in Africa K Diallo, J Smith, CT Okolo, D Nyamwaya, J Kgomo, R Ngamita arXiv preprint arXiv:2403.14662, 2024 | 1 | 2024 |
| The Promise and Perils of Generative AI: Case Studies in an African Context CT Okolo Proceedings of the 4th African Human Computer Interaction Conference, 266-270, 2023 | 1 | 2023 |
| Navigating the Limits of AI Explainability: Designing for Novice Technology Users in Low-Resource Settings CT Okolo Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 959-961, 2023 | 1 | 2023 |
| Practitioner Perspectives on Model Explainability in AI for Social Good CT Okolo, H Lin Preprint, 2023 | 1 | 2023 |
Nicola DellCornell University在 cornell.edu 的电子邮件经过验证
