Building Responsible AI in Africa | Darlington Akogo | TEDxAshesiUniversity

Quick Overview

Darlington Akogo champions the responsible development and deployment of Artificial Intelligence in Africa, specifically within healthcare, to augment human experts, predict diseases like cancer early, and support clinical workflows by processing diverse medical data modalities. The core challenge remains ensuring AI systems provide accuracy, fairness, transparency, and trust, especially in low-resource settings like Ghana, where the scarcity of specialists necessitates ethical and accessible technological solutions.

Key Points: AI systems, such as MuremiAI, are being developed to support medical doctors globally and specifically in Africa, processing over 30 modalities of medical data for tasks like image interpretation and drug discovery. A key application demonstrated is using AI to analyze mammograms to predict the likelihood of breast cancer and guide treatment, significantly faster than traditional methods. The speaker highlights a critical need for AI in African healthcare due to severe shortages of specialists, citing Ghana's ratio of one radiologist to 7,000 people. The goal for AI in healthcare is augmentation, not replacement, supporting clinicians in diagnostics (like ECG interpretation) and drug development (like 3D protein folding). The development involved collaboration with researchers globally and processing data from over 50 countries, including Ghana, Vietnam, and the US. Future development focuses on creating AI that can predict cardiovascular diseases and guide personalized treatment plans, emphasizing the need for accuracy, fairness, transparency, and trust in the systems. Akogo poses three key questions for a shared future: Can AI enhance systems without compromising human responsibility? Can AI democratize access to care? And, how do we ensure AI aligns with our shared human values?

Context: Darlington Akogo presents at TEDxAshesiUniversity on the potential and ethical considerations of deploying Artificial Intelligence (AI) systems in African healthcare. The talk focuses on his work developing AI tools, like MuremiAI, designed to tackle severe resource constraints in medical diagnostics and drug discovery across the continent, using real-world examples to illustrate both the capability and the necessary ethical guardrails.