Building from this campaign, we (AIWI) have also published a new resource on AI and Tech whistleblower case studies: https://aiwi.org/ai-and-tech-whistleblowers-stories/ .
Our insights and findings across the cases can be viewed on the landing page. Among our observations was that in majority of cases, concerns were first raised internally and external reporting usually followed internal failure.
This highlights the importance of strengthening internal whistleblowing systems and their related policies, not just for AI insiders, but for the companies themselves, and the public.
For those that are interested in finding out more about whistleblowing in AI Safety, or have related concerns they’d like to speak to someone about confidentially/anonymously, a support org/resource option is the AI Whistleblower Initiative (AIWI) https://aiwi.org/.
We recently published a resource on AI and Tech Whistleblower case studies https://aiwi.org/ai-and-tech-whistleblowers-stories/. It contains insights on patterns we’ve identified across all the cases, as well as what types of concerns were raised, the impact individuals have made in raising these concerns, and the support they received.