Rumman Chowdhury

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Rumman Chowdhury
Rumman Chowdhury at the AI for Good Global Summit 2018 (42110666692).jpg
Rumman Chowdhury at the AI for Good Global Summit 2018
Born1980 (age 41–42)
Alma materMassachusetts Institute of Technology
Columbia University
University of California, San Diego (PhD)
AwardsBBC 100 Women (2017)

(Forbes) (2018) (2018)

Scientific career
FieldsEthical Artificial Intelligence
InstitutionsAccenture
ThesisBeating Plowshares into Swords: The Impact of the Metropolitan-Military Complex (2017)
Doctoral advisorThaddeus Kousser
Steven Erie[1]
Websiterummanchowdhury.com

Rumman Chowdhury was born in 1980 in Rockland County, New York.[2] She is a Bengali American data scientist, a business founder, and former Responsible Artificial Intelligence Lead at Accenture. She enjoyed watching science fiction and attributes her curiosity about science to the Dana Scully effect.[3] She completed her undergraduate study in Management Science and Political Science at Massachusetts Institute of Technology.[2] She received a Master's of Science from Columbia University in Statistics and Quantitative methods.[3] She holds a Doctorate Degree in Political Science from University of California, San Diego.[2][1] She finished her PhD whilst working in Silicon Valley.[4] Her main interest and focus 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[2] She has recently joined the META team at Twitter, where she working with her colleagues to make changes to Twitter's AI algorithm to make it more in line with ethical guidelines.[5] She officially took the job to work with twitter in February 2021.[6] She was thrilled because this was an opportunity for her to have the ability to have direct positive impact at a global scale.[6] Rumman Chowdhury's most recent work is an analysis called Examining algorithmic amplification of political content on Twitter.[7] This analysis was talked about and explained in October of 2021. This is one of her most recent studies she has conducted for twitter.[7]

Career[]

Early[]

Chowdhury taught data science at the boot camp Metis and worked at Quotient before joining Accenture in 2017.[2] She leads their work on responsible artificial intelligence.[2] She is concerned about the AI workforce; particularly on retaining researchers.[2] She is also concerned about algorithmic bias.[2] She has spoken openly about the need to define what ethical AI actually means.[8] She works with companies on developing ethical governance and algorithms that explain their decisions transparently.[9] She is determined to use AI to improve diversity in recruitment.[10] 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 genders (such as race or gender) may influence the outcome.[11] The tool both identifies and tries to fix bias, enabling organisations to make more fair decisions.[12] She designed All.ai, a language analysis tool that can monitor and improve the gender balance of speakers in meetings.[13] In 2020 she founded Parity to bridge the translation gap between risk, legal, and data teams. [14]

She launched X Institute, a program which teaches refugees about data science and marketing.[2] She has given a keynote at Slush, talking about augmenting human capabilities.[15] She delivered a TED talk about humanity in the age of artificial intelligence.[15]

Current[]

Chowdhury is currently a director for the Machine Learning Ethics, Transparency and Accountability (META) team with Twitter. META’s goal is to study and improve the ML systems used within Twitter, this includes biased algorithms that may cause harm to the user.[16] Biased algorithms have been an issue since artifical intelligence (AI) has been introduced to the world; traits such as gender, sex, race, or social class hold potential segregation that may result in unfair decisions, META strives avoid this by making Twitter better, fair, accountable, and more transparent for its users.[17] Most projects that META teams do involve research and data analysis, which is why the team is made from Researchers and Engineers.[18] AI is constantly changing and becoming greater, so the META teams have a similar process where they are learning inside and outside of the app and applying that knowledge to build a better Twitter. Future changes that will impact Twitter will be having the algorithms used explainable to the users making the app more transparent, eventually leading to the users customizing or creating the algorithms by themselves. This means that the Twitter community will play an important role to making Twitter a stronger app.[17]

Awards[]

In 2017 she was included in the 100 Women (BBC) . In 2018 she was named as one of five people who are shaping AI by Forbes.[19] She was acknowledged by Biz journals as one of the Bay Area's top 40 Under 40[20] which aims to recognize people before the age of 40 who are leaders that demonstrate professional excellence in the bay area. Since then she has also been inducted into the British Royal Society of the Arts (RSA) to celebrate people who have made progress in social challenges.[citation needed]

References[]

  1. ^ a b Chowdhury, Rumman (2017). Beating Plowshares into Swords: The Impact of the Metropolitan-Military Complex. escholarship.org (PhD thesis). University of California, San Diego. OCLC 992172239.
  2. ^ a b c d e f g h i Apte, Poornima. "The Data Scientist Putting Ethics Into AI". OZY. Retrieved 2018-11-20.
  3. ^ a b "Rumman Chowdhury is California's Coolest Data Scientist". MM.LaFleur. 2017-01-13. Retrieved 2018-11-20.
  4. ^ "Meet the San Francisco Business Times' 40 under 40 Class of 2018 - Rumman Chowdhury". San Francisco Business Times. 2018. Retrieved 2018-11-23.
  5. ^ "Introducing our Responsible Machine Learning Initiative". blog.twitter.com. Retrieved 2021-11-17.
  6. ^ a b "Big news! - I'm thrilled to be joining the @TwitterEng team today as Director of ML Ethics, Transparency & Accountability. With the META team, we'll work to improve ML transparency, inclusivity and accountability. 1/". Twitter. Retrieved 2021-11-17.
  7. ^ a b "Examining algorithmic amplification of political content on Twitter". blog.twitter.com. Retrieved 2021-11-17.
  8. ^ Building Ethical & Responsible AI Technologies (Interview with Rumman Chowdhury of Accenture), retrieved 2018-11-21
  9. ^ TOPBOTS: Applied AI For Business (2018-06-12), Building Ethical & Responsible AI Technologies (AI For Growth, Rumman Chowdhury, Accenture), retrieved 2018-11-20
  10. ^ Welsh, John. "9 Developments In AI That You Really Need to Know". Forbes. Retrieved 2018-11-21.
  11. ^ "CogX—Tackling The Challenge Of Ethics In AI | Accenture". www.accenture.com. Retrieved 2018-11-20.
  12. ^ "5 Q's for Rumman Chowdhury, Global Lead for Responsible AI at Accenture". Center for Data Innovation. 2018-08-17. Retrieved 2018-11-21.
  13. ^ Hinchliffe, Emma. "This app will help you speak up—or shut up—during meetings". Mashable. Retrieved 2018-11-21.
  14. ^ https://www.getparity.ai/about
  15. ^ a b Slush (2017-12-07), Rumman Chowdhury: Augmenting Human Capabilities to New Dimensions, retrieved 2018-11-21
  16. ^ "Introducing our Responsible Machine Learning Initiative". blog.twitter.com. Retrieved 2021-11-17.
  17. ^ a b "Introducing our Responsible Machine Learning Initiative". blog.twitter.com. Retrieved 2021-11-17.
  18. ^ ""A 'building the plane as you fly it' moment": Q&A with Twitter's ethical AI lead Rumman Chowdhury". Morning Brew. Retrieved 2021-11-17.
  19. ^ Team, Insights. "Forbes Insights: 5 People Building Our AI Future". Forbes. Retrieved 2021-11-17.
  20. ^ "40 Under 40 2018: Rumman Chowdhury, Accenture (Video)". www.bizjournals.com. Retrieved 2021-11-17.
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