AI as a New Frontier for Journalism

We invite you to the online discussion AI as a New Frontier for Journalism: Where to Find Value in Tech-Driven Journalism that will explore the topic with an international panel of academics and practitioners. This the third event of a discussion series called DAIDALOS co-organized by the AI Center FEE CTU and our friends at Machine learning Meetups (MLMU).

Annotation

As new technological solutions continue to emerge, journalism has a responsibility to utilize any and all resources presenting themselves in a conscious manner. The rising popularity of AI-based systems has shown unprecedented promise for researchers and journalists alike. Can this precipitous development lead to decrements in trustworthiness in the eyes of the end consumer? What are the downsides of tech-heavy journalism? Where is the value in tech-driven journalism and is AI a true friend or a deceptive foe?

The discussion will be hosted by Anna Vošalíková from the Czech Radio (Český rozhlas).

About DAIDALOS

Through six lectures planned for 2021 and 2022, we wish to bring together scientists, students and experts from various fields to tackle the questions of AI research and social responsibility. Specifically, the cycle will cover the following topics related to AI: creativity, journalism, fairness, sustainability, transhumanism and the opening lecture on the history of AI. Learn more about DAIDALOS here.

Panelists

Logan Williams (Bellingcat)

Logan is a data scientist for Bellingcat's Investigative Technology team. He collaborates across Bellingcat to obtain, organize and analyze data, develop new tools for open source investigations, and communicate complex information with data visualization and cartography. Logan holds degrees in computer science from MIT and previously led technology development at data visualization agency Stamen Design and was a research fellow at the BuzzFeed News Open Lab.

Jan Drchal (AIC FEE CTU)

Jan is the machine learning (ML) researcher and lecturer at our AI Center. He had been working on ML applications in areas such as transportation research or robotics. Lately, he has focused on Natural Language Processing (NLP) methods for low-resource languages. Together with his research team, he works on the development systems for automated fact-checking and other AI-based assistive technologies for journalists.

Instructions

Access the talk online on January 19, 2022 (6:00 PM CET) at the MLMU YouTube Channel. You can ask questions via chat. The recording of the live-stream will be available at the same link.

We would also like to thank the supporters of MLMU who allow us to keep this event free and accessible to everyone. Namely: SAS, Dataclair.AI, Rossum, Seznam.cz, Konica Minolta, ChyronHego, Biano.