Source Microsoft Research · Published · Open the original ↗
Lab notes
Flint-interactive: A language for creating interactive data visualizations
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose.
AI agents make it easy to analyze data and generate reports with data visualizations. They help users examine patterns more efficiently than by reading verbose text. However, when we’re feeling exploratory, we want to go beyond static visualizations. : We want to interact with charts to zoom in on details, compare data across charts, or even highlight related text in the document from a chart selection, and vice versa. This requires agents to be able to create interactive data visualizations that communicate information while letting readers explore beyond the author’s chosen view, ideally with the quality of interactive stories in sophisticated data journalism. This leaves us wondering:
Yes, it’s possible, but there is a significant practical gap. Even with capable frontier models, we still face:
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