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A demo of something I've been hacking on 👀 OSINT investigators have to parse large volume documents in their flow, looking for hidden clues and useful context. Definitely think we need more ML tools to help extract + visualize key information:
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This was much inspired from my personal investigative projects (both legal & journalistic) — supply chain analysis, military chain of command, illegal fishing. The tool shouldn’t drive investigations, rather the story should drive the tool’s flexibility.
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Balancing journalist’s explorative control of the document is a key challenge here and one way to tackle this is to make AI decisions interpretable for humans to guide the direction of their investigations. I’m skeptical of making QA / prompt-based interfaces for this reason!
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this is really interesting, but I believe it could be important to establish how well it works and how it fails as a priority - this will allow the investigator to apply the tool without creating blindspots. Have you done a calibration step?