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We discuss recent Bellingcat reports on whether AI has the capability to reliably identify AI. The reporter and fellow shares his research on AI for OSINT and the results. Key takeaways -Testing AI’s ability to recognize AI art -Blending journalism and OSINT at Bellingcat -How machine learning should and shouldn’t be used in OSINT About Dennis Kovtun Dennis Kovtun is a freelance journalist with interest in OSINT and a 2023 Bellingcat Summer Fellow. Find more NeedleStack episodes: https://authentic8.com/needlestack?ut... Chapters: [00:00:43]: Introduction of Dennis Kovtun [00:01:04]: Inspiration behind the research [00:02:31]: AI's performance on image detection [00:04:07]: AI detector's shortcomings [00:06:38]: Incorporating AI in OSINT research [00:10:25]: Geolocation of images [00:11:24]: Narrowing down search area with location [00:12:46]: AI's capability vs. practical application [00:13:20]: Identifying AI-generated images [00:14:09]: Midjourney's imitation of real paintings [00:15:07]: Tells for differentiating AI-generated images [00:20:58]: AI tools not sentient, but based on procedural software [00:21:32]: AI detectors and controversies over cheating [00:23:49]: Discussion on Bellingcat and open-source research [00:25:18]: Challenges and labor-intensive nature of open-source research [00:28:03]: Differences between traditional journalism and Bellingcat's deep dives [00:30:46]: Open source work can be resource intensive [00:30:54]: Supporting Bellingcat through Patreon [00:31:21]: Overcoming intimidation in OSINT [00:32:40]: Improving geolocation skills [00:33:35]: Preparing for internships and fellowships [00:34:30]: Unique opportunities with Bellingcat #ai #aiart #osint #machinelearning #intelligence #journalism #podcast #geolocation #research