Authors: Allahsera Auguste Tapo, Ali Traore, Sidy Danioko, Hamidou Tembine

Published on: February 03, 2024

Impact Score: 8.12

Arxiv code: Arxiv:2402.02218

Summary

• What is new: This research explores the recent advancements in machine intelligence (MI) in Africa, focusing on multi-layer multiscale models and culture-aware ethics, a fresh approach that acknowledges the diverse cultural contexts of the African continent.
• Why this is important: The problem is the underutilization of large audio datasets in African countries by current MI tools, leaving many Africans excluded from MI business opportunities, and the lack of culture-awareness and questionable ethics in the adoption of state-of-the-art MI models.
• What the research proposes: The paper proposes a new perspective of developing and implementing machine intelligence through a culture-aware ethics framework and utilizing multi-layer multiscale models that are better suited for the African context.
• Results: Showcases MI use cases across 54 African countries and discusses the reliability of MI rankings and indexes in Africa, offering insights into the elaboration of algorithms for previously unclear MI terms.

Technical Details

Technological frameworks used: nan

Models used: nan

Data used: nan

Potential Impact

This research could impact various sectors including art, music, the informal economy, and small businesses in Africa, by providing insights and tools that better cater to local languages and cultural contexts. Companies in the technology, telecommunications, and MI development sectors might find new opportunities or face disruption.

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