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I work on this project. Every submission has to be approved by an editor before it appears on the site or gets counted toward leaderboard stats. We're currently more constrained by lack of submissions than by low-quality submissions – it's not uncommon that someone will contact us asking about an incident that should be in the database but isn't yet.

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It's possible that long-term you are not constrained by a lack of submissions but instead by a lack of actual AI incidents, how would you tell the difference? Encouraging people to go on a hunt for borderline AI-related "incidents" to submit seems like a bad idea.

Does that include the examples other posters have linked in this thread?

The earlier incidents like the Pokémon Go one were sourced from several existing collections: https://incidentdatabase.ai/research/2-roadmap/#:~:text=init.... That was before I or our most active current editor were on the project. The ChatGPT ones are more recent and did go through review.

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