Karen Hao
Award-Winning Journalist Covering AI & The Atlantic Contributor
Karen Hao
Award-Winning Journalist Covering AI & The Atlantic Contributor
Biography
Karen Hao is an award-winning journalist covering artificial intelligence, currently contributing to The Atlantic. Previously, she was a foreign correspondent at The Wall Street Journal focused on AI, China tech & society, and a senior editor at MIT Technology Review, where she wrote about the latest AI research & its social impacts. She was also a fellow with the Harvard Technology and Public Purpose program, the MIT Knight Science Journalism program, and the Pulitzer Center’s AI Accountability network.
In 2022, her work won an American National Magazine Award, the highest honor in magazine journalism, for “outstanding achievement for magazine journalists under the age of 30.” Her former weekly newsletter, The Algorithm, was named one of the best newsletters on the internet. A podcast she co-produced called In Machines We Trust, which broadcast in over 70 countries, won two front page awards and topped Apple's Tech charts.
Her work has been cited numerous times in government testimonials and policy documents, and is taught in universities around the world. In 2018, her “What is AI?” flowchart was featured in a museum exhibit in Vienna. She regularly gives talks about AI and journalism and has guest lectured at MIT, Yale, Cornell, Notre Dame, and HKU, among other institutions. In a past life, she was an application engineer at the first startup to spin out of Google[x]. She received a B.S. in mechanical engineering and minor in energy studies from MIT.
Speaker Videos
Why We Need To Democratise How We Build AI | Karen Hao | TEDxGateway
A.I. Deepfakes
Symbolists v. Connectionists
A.I. and Machine Learning
More Data and Deep Learning
A.I. Bias
What is A.I. Keynote
Speech Topics
AI & the Very Old World Order
If colonialism was characterized by the violent capture of land, extraction of resources, and exploitation of people for the economic enrichment of the conquering country, the AI industry is now using more insidious means to capture our behaviors, extract our data, and exploit our labor for enriching the wealthy and powerful at the great expense of the poor. This talk will illustrate how generative AI exacerbates these trends through the stories of people and communities most marginalized by Silicon Valley. It will also propose a new vision for artificial intelligence, one that returns power back to the people and becomes a force for good.
How the Other Half Lives: The Hidden Labor Behind ChatGPT
Heralded by tech luminaries as the world’s most revolutionary technology since the arrival of the internet, so-called generative AI like ChatGPT depends on a sprawling global pipeline of human labor. But who are these workers? What are their lives like? Do they like doing this work? This talk will share stories and observations from the field that reveal a troubling picture about the exploitative labor system that Silicon Valley has created to make possible its multibillion-dollar AI industry. It will also discuss ways to turn these jobs into true, meaningful work.