Gebru

Timnit Gebru is an Ethiopian-American computer scientist and AI ethics researcher who has become a leading voice in critiquing algorithmic bias and corporate AI practices. She co-authored the influential "Model Cards for Model Reporting" paper and the "Datasheets for Datasets" framework, which established standards for documenting machine learning datasets and models. In 2020, her departure from Google following a dispute over a paper on large language models' environmental and social costs became a watershed moment in AI ethics discourse, highlighting tensions between corporate AI development and independent research. In 2021, she founded the Distributed AI Research Institute (DAIR), an independent nonprofit focused on centering marginalized communities in AI research and challenging extractive practices in the tech industry. Her work combines technical rigor with social justice frameworks, arguing that AI systems encode and amplify historical inequities unless deliberately designed otherwise.

Timnit Gebru is an Ethiopian-American computer scientist and AI ethics researcher who gained prominence through her work on bias in machine learning and large language models. She co-authored the influential 'Model Cards for Model Reporting' paper and led research on dataset documentation. After her departure from Google in 2020, she founded the Distributed AI Research Institute (DAIR) to advance AI research centered on marginalized communities.