The hidden danger of AI in Africa | James Maisiri | TEDxUniversityofJohannesburg

Key Concepts

• Cultural Impact of AI: The central theme is how imported AI technologies can inadvertently reshape or erase local African cultures and traditions.
• AI as a Worldview: AI systems are not neutral; they carry the worldviews and values of their creators, predominantly Western societies.
• Cultural Erasure: The risk of AI systems, designed in Western contexts, failing to recognize or understand the deep cultural meanings and lived experiences of African communities, leading to the erosion of heritage.
• Local AI Development: The proposed solution is to build AI systems that are localized, incorporating African languages, values, and stories.
• Masani Initiative: An example of an initiative aimed at training AI with local languages and literature to preserve and promote African culture.

The Interplay of AI and African Culture

This discussion highlights the critical juncture Africa faces regarding the adoption of Artificial Intelligence (AI). The core argument is that "If Africa does not shape AI, then AI will shape Africa." This statement underscores the profound and potentially irreversible impact AI, largely developed in Western societies, can have on African cultures, economies, and ways of life if not actively guided by local perspectives.

Case Study: Nala's Story - Technology and Cultural Shift in Ghana

A compelling anecdote illustrates the power of technology to alter cultural norms. Nala, from an impoverished rural town in Ghana, faced significant barriers to education and technology access due to cultural expectations. The educational system was under-resourced, with students sharing limited materials. Furthermore, cultural demands placed the burden of informal market sales, domestic chores, and childcare on girls after school, effectively excluding them from spaces like the local internet cafe, which became a male-dominated domain. Nala herself experienced ostracization for venturing into this space.

A turning point occurred when an NGO introduced educational laptops to her school, supported by foreign aid. Teachers were retrained to integrate computers into their lessons. Although the project lasted only a year, it initiated a culture shift. During this period, girls began using computers, breaking down the gendered perception of technology. Post-project, Nala could access the internet cafe without fear, learn computer skills, and fundamentally alter her life's trajectory. This story demonstrates how foreign technology, even in a limited intervention, can reshape local culture in unforeseen ways.

AI's Impact on African Labor and Education: Beyond the Technical

As an AI researcher focusing on the African labor market and educational contexts, the speaker's perspective broadened to include the impact of AI on African culture. The concern arises from Africa's aggressive importation of AI systems developed in Western societies, without sufficient consideration for their cultural implications.

Emerging Patterns: AI and Cultural Invisibility

Research reveals a consistent pattern of AI systems inadvertently marginalizing or erasing local cultural practices:

• Zambia: Prenatal Care and Cultural Practices

  • Cultural Context: Childbirth in Zambia is deeply cultural, involving generational practices like drinking specific plant-based teas and consuming soil from crossroads for strength. Traditional healers are consulted for spiritual and physical protection.
  • AI Intervention: AI apps have been introduced for prenatal care.
  • The Conflict: These algorithms tend to recommend childbirth practices mirroring Western societies, the origin of the technology. Consequently, Zambian cultural practices become "invisible" within these AI recommendations. While AI can save lives, it illustrates how foreign technology can reshape culture.

• Kenya and Ghana: Smallholder Farming and Heritage

  • Cultural Context: Farming is intrinsically cultural for smallholder farmers, with centuries of knowledge regarding seeding, natural manure, and planting times. Plants are viewed not as objects but as spiritual beings, fostering deep respect for nature.
  • AI Intervention: Governments are deploying AI apps to enhance agricultural productivity.
  • The Conflict: These algorithms suggest chemical use, planting times, and methods without acknowledging the local respect for nature. Over time, reliance on these apps can lead farmers to forget their heritage and culture, as the algorithms prioritize profit and economic gain.

• South Africa: Mental Health Diagnosis and Spiritual Beliefs

  • Cultural Context: In some parts of South Africa, mental health is understood through a cultural and spiritual lens, not solely as a medical issue.
    • Gooni Tribes' "Ukuthwasa": This process involves a spiritual calling to become a traditional healer, characterized by altered states of consciousness, disorientation, and personality shifts. Dr. Edmond Ugger's research indicates that AI apps often diagnose these experiences as psychosis or schizophrenia, disregarding the lived cultural experiences.
    • "Ukuphatha Izinyoka" (or similar concepts): This refers to spiritual illnesses believed to be inflicted when ancestors are displeased. AI apps would likely diagnose these as medical disorders.
  • The Conflict: The issue is not misdiagnosis but cultural erasure. AI algorithms fail to grasp the deep meaning and lived realities of these communities. The problem is framed as existential rather than purely technical.

The Non-Neutrality of AI and the Path Forward

The presented cases reveal a critical truth: AI is not neutral. When imported, it carries its own worldview and values. Uncritical adoption of these technologies by Africa risks the loss of unique ways of learning, living, and daily practices.

The proposed solution is proactive and localized:

1. Build Local AI: Africa needs to develop its own AI applications, incorporating its own languages and values.
2. Support Initiatives: Engaging with initiatives like the Masani Initiative is crucial. This initiative encourages individuals to upload literature in their own languages to train AI systems to tell African stories and reflect African values.

The urgency is clear: "Because if we don't take charge, the next generation will not get culture from their grandparents but from algorithms with values that are not even ours." The ultimate message reiterates the initial premise: "If Africa does not shape AI, then AI will shape Africa."