One of Five Who are Shaping AI (Forbes) (2018) Bay Area's top 40 under 40 (San Francisco Business Times) (2018) Rumman Chowdhury (b.

[4] Her main interest for her career and higher educational studies was how data can be used to understand people's bias and ways to evaluate the impact of technology on humanity.

[7] Chowdhury, alongside a team of early career researchers at the Alan Turing Institute, developed a Fairness Tool which scrutinises the data that is input to an algorithm and identifies whether certain categories (such as race or gender) may influence the outcome.

[13][14] META's goal was to study and improve the machine learning systems used within Twitter, this included biased algorithms which may cause harm to the user.

[15] Biased algorithms have been an issue for a long time in the tech industry; traits such as gender, sex, race, or social class hold potential segregation that may result in unfair decisions.

[16] In 2021, Chowdhury and the META team published an analysis titled Examining algorithmic amplification of political content on Twitter.

[20] She has also been inducted into the British Royal Society of the Arts (RSA) to celebrate people who have made progress in social challenges.