Karen Hao is an American journalist and data scientist. Currently a contributing writer for The Atlantic and previously a foreign correspondent based in Hong Kong for The Wall Street Journal and senior artificial intelligence editor at the MIT Technology Review, she is best known for her coverage on AI research, technology ethics and the social impact of AI.[2][3] Hao also co-produces the podcast In Machines We Trust and writes the newsletter The Algorithm.[4]
Previously, she worked at Quartz as a tech reporter and data scientist and was an application engineer at the first startup to spin out of X Development. Hao's writing has also appeared in Mother Jones, Sierra Magazine, The New Republic, and other publications.
In March 2021, Hao published a piece that uncovered previously unknown information about how attempts to combat misinformation by different teams at Facebook's using machine learning were impeded and constantly at odds by Facebook's drive to grow user engagement.[8][9][10] Upon its release, leaders at Facebook including Mike Schroepfer and Yann LeCun immediately criticized the piece through Twitter responses.[11] AI researchers and AI ethics experts Timnit Gebru and Margaret Mitchell responded in support of Hao's writing and advocated for more change and improvement for all.[12]
Hao also co-produces the podcastIn Machines We Trust, which discusses the rise of AI with people developing, researching, and using AI technologies.[13] The podcast won the 2020 Front Page Award in investigative reporting.[14]
As a data scientist, Hao occasionally creates data visualizations that have been featured in her work at the MIT Technology Review and elsewhere.[15] In 2018, her "What is AI?" flowchart visualization was exhibited as an installation at the Museum of Applied Arts in Vienna.[16]
