Sara Hooker is a computer scientist who works in the field of artificial intelligence (AI).[1][2] She is known for her work on model efficiency at scale, large language models and areas of research on algorithmic bias and fairness in machine learning.[3][4][5] As VP of Research at Cohere, she launched the Cohere For AI scholars program.[citation needed] In 2023, she was listed as one of AI's top 13 innovators by Fortune.[6] In 2024, she was in TIME's 2024 list of the most influential people in AI.[7]
Sara Hooker | |
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Born | Dublin, Ireland |
Scientific career | |
Fields | Computer Science |
Institutions |
Sara Hooker is on Kaggle's ML Advisory Research Board and the World Economic Forum council on the Future of Artificial Intelligence.[8] She is also a member of the MLC research group.[citation needed]
Early life and Education
editSara Hooker was born in Dublin, Ireland. At four years old, her parents moved to Lesotho. She grew up in South Africa, Mozambique, Lesotho, Eswatini and Kenya until she was 19.[9][better source needed]
Hooker is a Doctor of Philosophy in Computer Science, a title she got from the Quebec Artificial Intelligence Institute,[citation needed] has a bachelor's from Carleton College with a dual major in Economics and International Relations, and an Economics degree from the Fundação Getulio Vargas. She also has an International Baccalaureate in IB Diploma from the Waterford Kamhlaba United World College.[citation needed]
Career
editIn 2014, she founded Delta Analytics, which develops technical capacity for non-profits.[10]
In 2017, Sara Hooker joined Google Brain as a research scientist who worked on interpretability and efficiency at scale. She was part of the original research team involved in founding Google's Ghana engineering office.[11][12]
In April 2022, Sara joined start-up Cohere to lead Cohere For AI.[13][14] The lab has since released projects, such as Aya, which aim to increase multilingual coverage.[15] Sara also launched a grant program to aim to bridge the resource gap.[16][failed verification]
References
edit- ^ Tiku, Nitasha (2023-10-25). "AI researchers uncover ethical, legal risks to using popular data sets". Washington Post. ISSN 0190-8286. Retrieved 2024-03-17.
- ^ "The Hardware Lottery – Communications of the ACM". 2021-12-01. Retrieved 2024-03-17.
- ^ Goldman, Sharon (2024-02-13). "Cohere for AI launches open source LLM for 101 languages". VentureBeat. Retrieved 2024-03-20.
- ^ "AI chatbots fall short in dozens of languages. A non-profit project aims to fix that". The Globe and Mail. 2023-11-19. Retrieved 2024-03-20.
- ^ "New AI polyglot launched to help fill massive language gap in field". axios. 13 February 2024.
- ^ "13 top A.I. innovators shaping how the tech will impact our lives". Fortune Europe. Retrieved 2024-03-17.
- ^ Pillay, Tharin (2024-09-05). "TIME100 AI 2024: Sara Hooker". TIME. Retrieved 2024-09-05.
- ^ "sara-hooker". World Economic Forum.
- ^ Hooker, Sara (2018-10-30). "Slow Learning". Medium. Retrieved 2024-03-20.
- ^ Goldman, Sharon (2022-06-14). "Google Brain alum to helm new nonprofit AI research lab". VentureBeat. Retrieved 2024-03-20.
- ^ Kuuire, Joseph-Albert (2019-04-11). "Google Officially Opens Its AI Research Centre In Accra". Tech Labari. Retrieved 2024-03-20.
- ^ Goldman, Sharon (2022-08-03). "How analog AI hardware may one day reduce costs and carbon emissions". VentureBeat. Retrieved 2024-03-20.
- ^ "The push to make big AI small". axios. 8 December 2023.
- ^ "This nonprofit thinks it knows how to solve the A.I. talent shortage". Fortune. Retrieved 2024-03-20.
- ^ Lima-Strong, Cristiano (2024-02-13). "Analysis | FTC's Bedoya says laws to keep teens off social media won't work". Washington Post. ISSN 0190-8286. Retrieved 2024-03-20.
- ^ "Announcing the Cohere For AI Research Grant Program". Context by Cohere. 2023-07-11. Retrieved 2024-03-20.