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On the Preservation of Africa's Cultural Heritage in the Age of Artificial Intelligence

Mohamed El Louadi

TL;DR

This paper surveys the historical progression of knowledge transmission—from oral to digital—and analyzes how digital technologies reshape memory, culture, and knowledge preservation. It highlights biases in AI training data, especially the overrepresentation of Western content, and argues that Africa’s cultural heritage risks erosion without deliberate data-driven efforts. The authors advocate for a shift from a generic digital culture to a culture of the digital, emphasizing the creation of diverse African data ecosystems to protect linguistic and cultural diversity while advancing digital literacy and development. They stress the fragility of digital memory, the need for robust data infrastructures, and the potential of leapfrogging to accelerate Africa’s participation in the digital knowledge economy. Overall, the work calls for substantial investment in Africa’s data presence to ensure equitable AI representation and lasting cultural preservation.

Abstract

In this paper we delve into the historical evolution of data as a fundamental element in communication and knowledge transmission. The paper traces the stages of knowledge dissemination from oral traditions to the digital era, highlighting the significance of languages and cultural diversity in this progression. It also explores the impact of digital technologies on memory, communication, and cultural preservation, emphasizing the need for promoting a culture of the digital (rather than a digital culture) in Africa and beyond. Additionally, it discusses the challenges and opportunities presented by data biases in AI development, underscoring the importance of creating diverse datasets for equitable representation. We advocate for investing in data as a crucial raw material for fostering digital literacy, economic development, and, above all, cultural preservation in the digital age.

On the Preservation of Africa's Cultural Heritage in the Age of Artificial Intelligence

TL;DR

This paper surveys the historical progression of knowledge transmission—from oral to digital—and analyzes how digital technologies reshape memory, culture, and knowledge preservation. It highlights biases in AI training data, especially the overrepresentation of Western content, and argues that Africa’s cultural heritage risks erosion without deliberate data-driven efforts. The authors advocate for a shift from a generic digital culture to a culture of the digital, emphasizing the creation of diverse African data ecosystems to protect linguistic and cultural diversity while advancing digital literacy and development. They stress the fragility of digital memory, the need for robust data infrastructures, and the potential of leapfrogging to accelerate Africa’s participation in the digital knowledge economy. Overall, the work calls for substantial investment in Africa’s data presence to ensure equitable AI representation and lasting cultural preservation.

Abstract

In this paper we delve into the historical evolution of data as a fundamental element in communication and knowledge transmission. The paper traces the stages of knowledge dissemination from oral traditions to the digital era, highlighting the significance of languages and cultural diversity in this progression. It also explores the impact of digital technologies on memory, communication, and cultural preservation, emphasizing the need for promoting a culture of the digital (rather than a digital culture) in Africa and beyond. Additionally, it discusses the challenges and opportunities presented by data biases in AI development, underscoring the importance of creating diverse datasets for equitable representation. We advocate for investing in data as a crucial raw material for fostering digital literacy, economic development, and, above all, cultural preservation in the digital age.
Paper Structure (13 sections, 2 figures)

This paper contains 13 sections, 2 figures.

Figures (2)

  • Figure 1: The comparison of content creation among continents. Africa consistently lags behind other continents with percentages as low as 0.5% Ojanpera2017.
  • Figure 2: How data sees the world. Countries are distorted based on how often the data is used in the datasets. Data usage in the U.S. accounts for the largest number of uses InternetHealth2022.