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Data-SKUP lørdag 26. oktober på OsloMet. Påmelding her. Endringer i programmet kan forekomme.
Saturday October 26, 2024 3:45pm - 4:15pm CEST
This talk delves into the principles behind creating intuitive tools that allow journalists to explore large datasets effectively, with a focus on making AI accessible and understandable. By embedding AI functionalities within user-friendly interfaces, journalists can leverage powerful data analysis and pattern recognition without requiring deep technical expertise. We will showcase use cases to demonstrate how these design principles bridge the gap between journalism and advanced AI, enabling reporters to uncover insights, and generate data-driven stories more efficiently. Particular relevance will be given to privacy and ethical consideration.
Speakers
avatar for Roy Krøvel

Roy Krøvel

Professor of Journalism, OsloMet
Roy Krøvel er professor i journalistikk på OsloMet. Han er utdannet sivilingeniør med doktorgrad i historie. Krøvel stifta for tre år sidan AI Journalism Resource Center, som forskar på og stør mennesksentrert utvikling av KI for undersøkande journalistikk. Roy Krøvel is... Read More →
FP

Fabrizio Palumbo

Associate Professor, OsloMet
Fabrizio Palumbo is an Associate Professor in the Department of Journalism and Media Studies at Oslo Metropolitan University. He is the founder and leader of the AI Journalism Resource Center, a collaborative initiative between the AI Lab and the Department of Journalism and Media... Read More →
Saturday October 26, 2024 3:45pm - 4:15pm CEST
2. etasje PI243

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