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Event

AI Spotlight Series: Introduction to AI Reporting at the Logan Symposium

Event Date:

April 21, 2024 | 1:00 PM PDT TO 2:30 PM PDT

ADDRESS:

Reva and David Logan Symposium
University of California, Berkeley

Berkeley, CA 94720

Participants:
SECTIONS
Introduction to AI Reporting. Introduction to AI Reporting. This event will be conducted in-person for Logan Symposium attendees only. Instructors: Karen Hao and Lam Thuy Vo. This track is designed for reporters interested in getting started but with minimal or no knowledge of AI. We will dissect what makes a good AI accountability story, from quick turnaround stories to more ambitious investigations, and dig deeper into a few examples.

Please note: This event will be conducted in-person for Logan Symposium attendees 

Join the Pulitzer Center and leading AI and technology reporters for an introductory course on AI reporting at the Logan Symposium on Saturday, April 21.

This track is designed for reporters interested in getting started but with minimal or no knowledge of AI. We will begin with the basics, covering the history of AI, how the technology works, and key technical concepts such as “neural networks” and “deep learning.” We will also dissect what makes a good AI accountability story, from quick turnaround stories to more ambitious investigations, and dig deeper into a few examples. At the end of the course, those who are interested in learning more are encouraged to register for the AI reporting intensive.

Meet our instructors:

  • Karen Hao is an award-winning journalist covering the impacts of artificial intelligence on society and a contributing writer at The Atlantic. She was formerly a foreign correspondent covering China’s technology industry for the Wall Street Journal and a senior editor for AI at MIT Technology Review. Her work is regularly taught in universities and cited by governments. She has received numerous accolades for her coverage, including an ASME Next Award for Journalists Under 30. In 2019, her weekly newsletter, The Algorithm, was nominated for The Webby Awards. In 2020, she won a Front Page Award for co-producing the podcast In Machines We Trust.
  • Lam Thuy Vo is a journalist who marries data analysis with on-the-ground reporting to examine how systems and policies affect individuals. She is a reporter with The Markup and an associate professor of data journalism at the City University of New York’s Craig Newmark Graduate School of Journalism. Previously, she was a journalist at BuzzFeed News, The Wall Street Journal, Al Jazeera America, and NPR's Planet Money

The AI Spotlight Series is designed to equip reporters—whether on the tech beat or any other—with the knowledge and skills to cover and shape coverage of AI and its profound influence on society. Each course is designed to give you a strong grounding in AI and how it works, as well as the tools to identify critical stories—from spot news to deep investigations—that will highlight the technology’s impacts, hold companies and governments accountable, and drive policy and community change while avoiding hype and unnecessary alarmism.

Learn more about the AI Spotlight Series and explore other available courses

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