Early Chowdhury taught data science at the boot camp Metis and worked at Quotient before joining Accenture in 2017. and was responsible for coining the term "
moral outsourcing". She works with companies on developing ethical governance and algorithms that explain their decisions transparently. She is determined to use AI to improve diversity in recruitment. 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. The tool both identifies and tries to fix bias, enabling organisations to make fairer decisions.
All.ai, Parity and X Institute Chowdhury designed All.ai, a language analysis tool that can monitor and improve the gender balance of speakers in meetings. In 2020, she founded Parity to bridge the translation gap between risk, legal, and data teams. She launched the X Institute, a program which teaches refugees about data science and marketing. She delivered a
TED talk about humanity in the age of artificial intelligence. 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. Most projects that META teams worked on involved research and data analysis, and the team was largely made up of professors, researchers, and engineers. In 2021, Chowdhury and the META team published an analysis titled
Examining algorithmic amplification of political content on Twitter. In November 2022, Chowdhury was one of many Twitter employees who were laid off at short notice after Elon Musk's takeover of the company. == Awards ==