Data-SKUP 2024

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.

This session is suitable for developers and reporters with knowledge of data journalism.