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This study offers crucial insights into developing robust AI speech recognition for low-resource African languages, evaluating different models and adaptation strategies. It…
This research provides critical insights into optimizing AI architectures for Automatic Speech Recognition (ASR) in low-resource African languages. It offers practical guidance…
This research critically evaluates the safety of large language models in Yoruba and Nigerian Pidgin, revealing that English-centric safety measures fail to protect users in these…
This research is a foundational study on safety alignment for large language models specifically for Hausa, a major West African language. It introduces a new Hausa safety dataset…
AfriGuard is a new, culturally grounded multilingual dataset for studying harmful intent and refusal behavior across 10 African languages and English. This work is critical for…
African AI research on climate-related health issues primarily focuses on localized, reactive solutions for infectious diseases, contrasting sharply with the global trend towards…
AfriGuard is a new multilingual dataset specifically designed to address safety and refusal challenges in large language models for ten African languages. This research highlights…
This research introduces SunflowerASR, a new speech recognition model optimized for low-resource African languages using Group Relative Policy Optimisation. It demonstrates…
This research introduces a new evaluation framework, SIM-UT, specifically designed to test medical AI chatbots in real-world, multilingual scenarios relevant to low- and…
AfriBED is a new speech recognition bias evaluation dataset created for two low-resource African languages, Bemba and Nyanja. This dataset enables the detection and estimation of…
Africa-Papers is a new 10-billion-token academic corpus specifically designed to address the severe underrepresentation of African scholarship in large language model training…
This study details an AI workflow designed to screen food packages against South Africa's draft R3337 regulations for front-of-package warning labels. The system aims to automate…
A new dataset, AfriGuard, has been developed to address the unique challenges of AI safety and refusal behavior in 10 African languages and English. This research reveals that…
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,…
This research introduces TTSYoruba, a specialized text-to-speech system for the Yoruba language, integrated into an online dictionary. It significantly improves the digital…
Pearl-Chat is a new 8.5-million parameter language model specifically engineered for Luganda, a low-resource Bantu language spoken by over 10 million people in East Africa. This…
The University of Cape Town has secured $1.6 million from Google.org to build an AI platform that will map genetic variants in African populations affecting drug metabolism. This…
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…
TTSYoruba is a new speech synthesizer specifically designed for the Yoruba language, a significant step in developing AI tools for low-resource African languages. It is deployed…
A new 174-hour Ewe ASR benchmark, 'Nufo', has been released, providing a crucial resource for developing speech recognition technology for this major West African language. This…
This research applies AI, specifically U-Net and GAN architectures, to statistically downscale climate data, providing higher-resolution daily precipitation forecasts for West…
South African startup Vambo AI has released MORENA, a 1.5-billion-parameter open-weight language model trained from scratch for 12 African languages. This development is crucial…
Ethiopian researchers have developed an AI model, HCMAN, specifically designed for early breast cancer detection in low-resource settings across Sub-Saharan Africa. The model…
This research introduces MGhana-ST, a new speech translation dataset for four low-resource Ghanaian languages: Ga, Twi, Ewe, and Fante. The dataset and accompanying analysis are…
