Kasia Chmielinski

Kasia Chmielinski is the Co-Founder of the Data Nutrition Project, an initiative that builds tools to mitigate bias in artificial intelligence, and a Data and AI Advisor at the United Nations (UNOPS, OCHA). They are also an affiliate at Stanford University and Harvard University focused on building responsible data systems. Previously, they held product leadership positions at the US Digital Service (Executive Office of the President), MIT Media Lab, McKinsey & Company, and Google. They have a degree in physics from Harvard University.

Kasia spent almost two decades building software systems across a number of disciplines and regions, from bringing the Android platform in Europe (Google), to building AI that provided access to credit for America’s underbanked (ZestAI). They also helped scale the world’s largest children’s coding community (MIT Scratch Project) from 4 to 30M kids across 160 countries. Later, while at the White House (US Digital Service), Kasia provided guidance on streamlining data pipelines for a variety of projects including farmworker visa applications and opioid overdose data, and then continued work in healthcare at McKinsey & Company, where they spearheaded real time analytics supporting the Covid vaccine response.

Today focused on questions of algorithmic bias and accountability from a multi-disciplinary and cross-domain perspective, Kasia advises and works alongside actors from across the AI ecosystem from startups building AI systems to organizations thinking about the governance of data and deployment of AI. They are also involved in building artistic narratives around the role of technology in democracy through projects supported by organizations like the Rockefeller Foundation, the Sundance Institute, NPR, and Ars Electronica. Driven by the belief that interdisciplinary conversations are critical for solving complex problems, Kasia bridges the silos between AI builders and consumers, tech innovators and regulators, and artists and scientists.