“Statement on Inclusive and Sustainable AI for People and the Planet,” which is committed to principles requiring AI to be open, inclusive, transparent, ethical and safe. Reports show Vice President JD Vance warned against “excessive regulation” of the AI sector and saw the declaration as a potentially stifling innovation. And, as Iyigun noted in our conversation, some global summits are already shifting from AI safety to AI security, where capability research outpaces guardrails. But how do we mitigate misalignment and centralization of power? At the individual level, public literacy is paramount. Being informed on these topics helps actualize the reality of misalignment and can shift public narrative to thinking of it as a real problem instead of a far-off sci-fi scenario. Organizations like AISA, Center for AI Safety and the AI Safety Global Society are great starting points for getting involved and learning more about what AI risk entails. At the local level, demanding transparency and oversight from institutions like OpenAI and Anthropic is crucial: Models must be interpretable, auditable and, as Brinton suggests, subject to “safety before deployment” standards similar to Federal Aviation Administration