New Shorenstein Center Report Explores the Gender Gap in Perceptions and Use of AI
Kasia Chmielinski
Research Fellow
Kasia Chmielinski is the Co-Founder of The Data Nutrition Project, an initiative that builds tools to mitigate bias in artificial intelligence. As a Shorenstein Fellow, their focus will be on policy and tooling mechanisms to drive responsible algorithmic systems. They are also a Senior Researcher at the Partnership on AI with a focus on machine learning documentation, a Senior Advisor to the Center for Humanitarian Data (United Nations OCHA) specializing in data quality, and an affiliate at the Berkman Klein Center at Harvard University with a focus on dataset standards for responsible artificial intelligence. Previously, Kasia held positions at McKinsey & Company, the U.S. Digital Service (OMB / White House), the MIT Media Lab, and Google. They are also a purveyor of multimedia stories (film, audio) and an avid birdwatcher. When not in front of a computer, Kasia can be found leading a Feminist Bird Club event or cycling uncomfortably-long distances. They received their bachelor’s degree in physics from Harvard University.
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