February 21, 2020 - 12:00pm
Gates Computer Science Building, Room 219
Abstract: Algorithmic tools are transforming our daily lives, but journalism is still playing catch up. As in other times of global transition, news consumers are anxious that artificial intelligence will overtake human abilities and question whether these systems will take our jobs, amplify racial bias or expose our privacy. As one of few technically trained data journalists, it’s clear to me that most newsrooms lack the training to understand how algorithms work, let alone how they are deployed to guide crucial decisions in hiring, banking, criminal justice and medicine. And the rapidly expanding field of algorithmic accountability reporting has yet to be codified in simple terms that most reporters can understand. Naturally, this leads to questions: How can we ensure that reporters ask the right questions? Or that a larger group of journalists can access work examining the technology's impacts on society? How can we encourage nuanced journalism about AI that accurately reflects the state of science? As an inaugural 2020 Human Centered Artificial Intelligence-John S. Knight journalism fellow, I am developing a new set of journalistic best practices to provide reporters and editors with scientifically rigorous standards for algorithmic accountability reporting.
Bio: Garance Burke is an investigative journalist who applies her training in statistical analysis to reveal vital truths in the public interest. Often driven by data, her work for The Associated Press on topics ranging from immigration to cybersecurity has helped to shape presidential elections, inspire congressional hearings and spark federal investigations. As an inaugural 2020 Institute for Human-Centered Artificial Intelligence-John S. Knight Journalism fellow, she is deepening her data science skills to draft standards that will help train more reporters to produce deeper stories about the algorithmic systems they encounter on their beats. In 2019, her stories were honored as a finalist for the Pulitzer Prize in national reporting and the Anthony Shadid Award for Journalism Ethics, and received the Robert F. Kennedy Journalism Award and the National Press Club Award for Diplomatic Correspondence. Burke began her career at the Mexican financial newspaper El Financiero, then worked in Mexico City for The Washington Post and The Boston Globe. She received dual master’s degrees from the University of California, Berkeley’s Goldman School of Public Policy and Graduate School of Journalism, where she has taught as a lecturer in basic data journalism.
Stanford Institute for Human-Centered Artificial Intelligence (HAI)