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Timnit Gebru est une chercheuse spécialisée dans l'éthique de l'intelligence artificielle et notamment les biais algorithmiques.
, Timnit Gebru (geb. 1982 oder 1983 in Addis … Timnit Gebru (geb. 1982 oder 1983 in Addis Abeba) ist eine Informatikerin, die auf dem Gebiet der künstlichen Intelligenz (KI) forscht. Bis Anfang Dezember 2020 war sie Co-Leiterin der Abteilung für Ethik in der KI (Ethical AI Intelligence Team) bei dem US-amerikanischen Technologieunternehmen Google.rikanischen Technologieunternehmen Google.
, Timnit Gebru (Adís Abeba, c. 1982/1983) es … Timnit Gebru (Adís Abeba, c. 1982/1983) es una científica en computación etíope, especializada en algoritmos de minería de datos y sesgo algorítmico. También aboga por la defensa de la diversidad en la tecnología y es cofundadora de Black in AI, una comunidad de investigadores negros que trabajan en inteligencia artificial. En diciembre de 2020, fue despedida de su puesto como técnico colíder del Equipo de Inteligencia Artificial Ética de Google después de negarse a una solicitud que directores de rango superior le hicieran al pedirle retirar de un informe, que estaba por ser publicado, los nombres de todos los empleados de Google mencionados en dicho informe (incluyendo el de ella). Rechazó el pedido, solicitando los nombres y razones de las personas que tomaron esa decisión, y amenazó con renunciar si no era proporcionada aquella información.Google no cumplió su petición y fue inmediatamente despedida. Google declaró que el informe en cuestión, titulado "Los Peligros de Loros Estocásticos: ¿Pueden Modelos de Lenguaje Ser Demasiado Grandes?" (En inglés On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?), ignoraba investigaciones recientes que muestran métodos de mitigar el sesgo en aquellos sistemas.e mitigar el sesgo en aquellos sistemas.
, Timnit Gebru (Adis Abeba, Etiópia, n. 1983 … Timnit Gebru (Adis Abeba, Etiópia, n. 1983) é uma cientista de computação que trabalha com polarização algorítmica, mineração de dados e ética para a inteligência artificial. Neste âmbito, trabalhou na Microsoft e co-liderou o departamento de Ética para Inteligência Artificial da Google, até dezembro de 2020. Fez parte do Stanford AI Lab, o laboratório de investigação sobre inteligência artificial da Universidade de Stanford. É uma defensora da diversidade em tecnologia e co-fundadora da Black in AI, uma comunidade de pesquisadores negros que trabalham com inteligência artificial. Em dezembro de 2021, anunciou ter fundado o seu próprio instituto de investigação em inteligência artificial. Gebru foi reconhecida como uma das 50 maiores líderes do mundo pela revista Fortune, em 2021.es do mundo pela revista Fortune, em 2021.
, Timnit Gebru (Amharic: ትምኒት ገብሩ; born 1983 … Timnit Gebru (Amharic: ትምኒት ገብሩ; born 1983/1984) is an American computer scientist who works on algorithmic bias and data mining. She is an advocate for diversity in technology and co-founder of Black in AI, a community of Black researchers working in artificial intelligence (AI). She is the founder of the Distributed Artificial Intelligence Research Institute (DAIR). In December 2020, Gebru was the center of a public controversy stemming from her abrupt and contentious departure from Google as technical co-lead of the Ethical Artificial Intelligence Team. Higher management had requested she withdraw an as-yet-unpublished paper or remove the names of all Google coauthors, and said that the paper ignored recent research. She requested insight into the decision, and warned that non-compliance would result in her negotiating her departure. Google terminated her employment immediately, stating they were accepting her resignation. Gebru has been recognized widely for her expertise in technology and artificial intelligence. She was named one of the World's 50 Greatest Leaders by Fortune and one of Nature's ten people who shaped science in 2021, and in 2022, one of Time's most influential people.22, one of Time's most influential people.
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Timnit Gebru (Adís Abeba, c. 1982/1983) es … Timnit Gebru (Adís Abeba, c. 1982/1983) es una científica en computación etíope, especializada en algoritmos de minería de datos y sesgo algorítmico. También aboga por la defensa de la diversidad en la tecnología y es cofundadora de Black in AI, una comunidad de investigadores negros que trabajan en inteligencia artificial.s que trabajan en inteligencia artificial.
, Timnit Gebru (Amharic: ትምኒት ገብሩ; born 1983 … Timnit Gebru (Amharic: ትምኒት ገብሩ; born 1983/1984) is an American computer scientist who works on algorithmic bias and data mining. She is an advocate for diversity in technology and co-founder of Black in AI, a community of Black researchers working in artificial intelligence (AI). She is the founder of the Distributed Artificial Intelligence Research Institute (DAIR).al Intelligence Research Institute (DAIR).
, Timnit Gebru (geb. 1982 oder 1983 in Addis … Timnit Gebru (geb. 1982 oder 1983 in Addis Abeba) ist eine Informatikerin, die auf dem Gebiet der künstlichen Intelligenz (KI) forscht. Bis Anfang Dezember 2020 war sie Co-Leiterin der Abteilung für Ethik in der KI (Ethical AI Intelligence Team) bei dem US-amerikanischen Technologieunternehmen Google.rikanischen Technologieunternehmen Google.
, Timnit Gebru (Adis Abeba, Etiópia, n. 1983 … Timnit Gebru (Adis Abeba, Etiópia, n. 1983) é uma cientista de computação que trabalha com polarização algorítmica, mineração de dados e ética para a inteligência artificial. Neste âmbito, trabalhou na Microsoft e co-liderou o departamento de Ética para Inteligência Artificial da Google, até dezembro de 2020. Fez parte do Stanford AI Lab, o laboratório de investigação sobre inteligência artificial da Universidade de Stanford. É uma defensora da diversidade em tecnologia e co-fundadora da Black in AI, uma comunidade de pesquisadores negros que trabalham com inteligência artificial. Em dezembro de 2021, anunciou ter fundado o seu próprio instituto de investigação em inteligência artificial.e investigação em inteligência artificial.
, Timnit Gebru est une chercheuse spécialisée dans l'éthique de l'intelligence artificielle et notamment les biais algorithmiques.
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