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AI cannot replace indigenous knowledge systems – Prof. David Millar

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The founder of the Millar Institute for Transdisciplinary and Development Studies (MITDS), Professor David Millar, has shared thought-provoking insights on the rise of Artificial Intelligence (AI), stressing the importance of human input and indigenous knowledge in addressing technology’s limitations.

Speaking in an interview on A1 Radio, Prof. Millar noted that while AI presents opportunities, it is not foolproof. “There is always an error. AI will necessarily, as a technology, have that 5% error. And you need a human interface to deal with the error,” he explained, drawing parallels with the airline industry, where autopilot systems still require human oversight to prevent accidents.

According to him, AI cannot fully capture or replicate indigenous knowledge systems, which are often undocumented and deeply personal. “Try AI with indigenous knowledge—you can’t get any results. It manages the non-indigenous knowledge, the documented research. But when you ask about your grandfather’s practices, AI cannot answer,” he said.

He further advised that the integration of AI in research should not overlook cultural and community-specific implications. “What are the implications for the Kusasi, Dagaba, or Frafra communities? These unique contexts cannot be computerized,” he emphasized.

Prof. Millar also reflected on examinations and the use of technology in education, citing his own experience with open-book exams in Europe. He suggested that while students may believe technology will make academic work easier, higher standards often expose its limitations.

Despite concerns, Prof. Millar said he is not alarmed by AI. “When the computer was coming, we thought the same. But we caught up with it. AI will also generate jobs. Don’t worry, you will be very employed,” he reassured.

Prof. Millar concluded humorously, noting that Africans have unique ways of avoiding over-reliance on “the white man’s technology.”

A1Radioonline.com|101.1Mhz|Moses Apiah|Bolgatanga

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