In late 2023, researchers identified a significant flaw in GPT-3.5 that caused the model to repeat words endlessly and produce incoherent output mixed with personal data. Prompted by this issue, over 30 AI researchers proposed a new system allowing external parties to probe AI models for vulnerabilities. They emphasized the necessity for transparency in disclosing such flaws, indicating that the current landscape is chaotic and damaging, highlighting fears of repercussions that hinder the sharing of vulnerabilities. They stressed the importance of stress-testing AI to ensure user safety amid widespread technology use.
When it comes to AI safety, it’s clear that there are chilling effects and uncertainty. We need more transparency in how vulnerabilities are disclosed.
The current state of AI vulnerability reporting resembles the Wild West, where flaws can be shared irresponsibly, risking user safety and model integrity.
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