
led by Alor Sahoo
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Group leader
MIT senior studying writing and computer science. I'm thinking about CBRN (chemical, biological, and radionuclear) risk mitigations, human-chatbot interactions, and more.
The Issue:
Frontier AI is moving faster than legislation. In theory, companies can train models, skip independent testing, and hide safety failures, while the public shoulders risk.
California’s SB 53 sets a better standard: requiring transparency reports, safety testing, incident reporting, and whistleblower protections. If the biggest AI labs are shaping our future, they should be accountable to the public. Anthropic, the creators of Claude, agree.
Massachusetts is already a hub for tech and biotech, so it’s time the laws adapt to help keep people safe.
The Ask:
Let’s ask Massachusetts legislators to adopt SB 53-style protections. This means requiring big AI companies to:
Publish safety frameworks showing how they manage catastrophic risks.
Release transparency reports before launching new models.
Report safety incidents within 15 days.
Protect whistleblowers who flag dangers.
Face penalties if they break their commitments.
Why It’s Reasonable:
We already demand safety checks for planes, hospitals, and nuclear facilities. AI should meet those same standards.
To be sure, SB 53 has many areas for improvement. But the first step if shifting the conversation from “should we regulate AI?” to “how should we regulate AI?”
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