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A new dataset, AfriBED, has been created to evaluate and reduce speaker-attribute bias in Automatic Speech Recognition (ASR) systems for low-resource African languages,…
A global study on how large language models (LLMs) value human time found that these AI systems consistently recommend the lowest compensation for users in Africa when simulating…
A University of Cape Town PhD student, Nokuthula Olorunju, has developed a constitutional approach for AI regulation specifically for South Africa. Her research highlights the…
South African universities are increasingly deactivating AI detection software due to its inherent inaccuracies and, critically, its documented bias against non-native English…
Dr. Shamsuddeen will discuss how large language models (LLMs) misrepresent African languages and cultural contexts, despite two decades of progress in AfricaNLP. He will highlight…
