Microsoft Research | AI For All: Embracing Equity for All @MicrosoftResearch | Uploaded April 2024 | Updated October 2024, 1 week ago.
This grand seminar was hosted by Microsoft Research Africa, Nairobi together with the Microsoft AI for Good team in April 2024. It was the second in their grand seminars which brought together people from academia, and industry to discuss how we can embrace equity in the AI space
The three-hour event included a keynote by Dr. Lavri Labi titled “Addressing Bias and Representation in Generative AI Outputs,” where he examined the profound impact of generative AI on society as Generative AI, driven by large-scale datasets, often reflects the biases inherent in the data it is trained on. This was followed by a spotlight discussion by Stanslaus Mwongela who explained how UlizaLlama, a first-of-its-kind open-access LLM by Jacaranda Health fine-tuned from the Llama 2 open weight model by Meta, marks an innovative step forward in making AI-driven support accessible to Swahili-speaking communities. The session ended with a panel discussion with experts from academia and industry including Dr. Kalika Bali, Dr. Lavri Labi, Millicent Ochieng, Dr. John Wamburu, Maxamed Ahmed, Dr. Gilles Hacheme and moderated by Dr. Girmaw Abebe Tadesse.
Speakers: Dr Jacki O'Neill, Dr. Lavri Labi, Stanslaus Mwongela, Dr. Girmaw Abebe Tadesse, Dr. Kalika Bali, Dr. Lavri Labi, Millicent Ochieng, Dr. John Wamburu, Maxamed Ahmed, Dr. Gilles Hacheme and Samuel Maina
Learn more about MARI: microsoft.com/en-us/research/group/microsoft-africa-research-institute-mari
This grand seminar was hosted by Microsoft Research Africa, Nairobi together with the Microsoft AI for Good team in April 2024. It was the second in their grand seminars which brought together people from academia, and industry to discuss how we can embrace equity in the AI space
The three-hour event included a keynote by Dr. Lavri Labi titled “Addressing Bias and Representation in Generative AI Outputs,” where he examined the profound impact of generative AI on society as Generative AI, driven by large-scale datasets, often reflects the biases inherent in the data it is trained on. This was followed by a spotlight discussion by Stanslaus Mwongela who explained how UlizaLlama, a first-of-its-kind open-access LLM by Jacaranda Health fine-tuned from the Llama 2 open weight model by Meta, marks an innovative step forward in making AI-driven support accessible to Swahili-speaking communities. The session ended with a panel discussion with experts from academia and industry including Dr. Kalika Bali, Dr. Lavri Labi, Millicent Ochieng, Dr. John Wamburu, Maxamed Ahmed, Dr. Gilles Hacheme and moderated by Dr. Girmaw Abebe Tadesse.
Speakers: Dr Jacki O'Neill, Dr. Lavri Labi, Stanslaus Mwongela, Dr. Girmaw Abebe Tadesse, Dr. Kalika Bali, Dr. Lavri Labi, Millicent Ochieng, Dr. John Wamburu, Maxamed Ahmed, Dr. Gilles Hacheme and Samuel Maina
Learn more about MARI: microsoft.com/en-us/research/group/microsoft-africa-research-institute-mari
