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.
New Report Provides Framework for Transparency in AI Systems
May 21, 2024
A new report published out of Harvard Kennedy School’s Shorenstein Center on Media, Politics and Public Policy provides a framework to help AI practitioners and policymakers ensure transparency in artificial intelligence (AI) systems. The report, titled “A CLeAR Documentation Framework for AI Transparency: Recommendations for Practitioners & Context for Policymakers,” outlines key recommendations for documenting
