Leveraging 'Responsible, Explainable, and Local Artificial Intelligence Solutions for Clinical Public Health in the Global South' (REL-AI4GS): Implications for Policies and Lessons Learned from the 'Africa-Canada Artificial Intelligence and Data Innovation Consortium' (ACADIC) project

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jan 2022 English Publisher:Elsevier BVJournal:SSRN Electronic Journal (eissn: 1556-5068,

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Authors: Kong, Jude; Akpudo, Ugochukwu Ejike; Effoduh, Jake Okechukwu; Bragazzi , Nicola Luigi;

doi: 10.2139/ssrn.4269591 , 10.5281/zenodo.7324816 , 10.5281/zenodo.7324817

Leveraging 'Responsible, Explainable, and Local Artificial Intelligence Solutions for Clinical Public Health in the Global South' (REL-AI4GS): Implications for Policies and Lessons Learned from the 'Africa-Canada Artificial Intelligence and Data Innovation Consortium' (ACADIC) project

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Abstract

In this presentation, I will demonstrate how AI and Big Data Analytics can help address clinical public and global health needs in the Global South, leveraging and capitalizing on my experience with the Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC) Project in the Global South, and focusing on the ethical and regulatory challenges we had to face.

Related Organizations

York University
Canada

Keywords

Transdisciplinarity, Artificial Intelligence, Sustainable development, Research & development, Capacity development, Research & development, Research infrastructure, Digital public health goods, Health data

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