))
Uli Köppen: Algorithmic Accountability, Generative AI and Automation in Journalism at Germany's Bayerischer Rundfunk (Bavarian Broadcasting)
Manage episode 375072051 series 3465295
Content provided by Nikita Roy. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nikita Roy or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
Uli Köppen, head of the AI + Automation Lab at German Public Broadcaster Bayerischer Rundfunk, joins Nikita Roy to discuss how BR's newsroom has integrated AI across its entire news cycle. Uli shares her team's work on algorithmic accountability, AI strategy, generative AI experiments, and their experience integrating AI in the newsroom.
Uli also co-leads BR Data, the newsroom's investigative data team. The award-winning team at BR Data is pioneering the future of AI in journalism, drawing upon the experience of journalists, coders, and product developers to specialize in investigative data stories, interactive storytelling, and experimentation with AI.
In 2019, she spent a year at Harvard and MIT as a Nieman Fellow, focusing on algorithmic accountability, machine bias, and automation in journalism. She also participated in the Online News Association's Women's Leadership Accelerator in 2022.
Tune in to learn about advanced AI-driven media from one of Europe's leading voices in the field.
Hosted on Acast. See acast.com/privacy for more information.
53 episodes
Share
