Currently DNA synthesis companies “deploy biosecurity software designed to guard against nefarious activity,” reports the Washington Post, “by flagging proteins of concern — for example, known toxins or components of pathogens.” But Microsoft researchers discovered “up to 100 percent” of AI-generated ricin-like proteins evaded detection — and worked with a group of leading industry scientists and biosecurity experts to design a patch. Microsoft’s chief science officer called it “a Windows update model for the planet.
“We will continue to stay on it and send out patches as needed, and also define the research processes and best practices moving forward to stay ahead of the curve as best we can.”
But is that enough?
Outside biosecurity experts applauded the study and the patch, but said that this is not an area where one single approach to biosecurity is sufficient. “What’s happening with AI-related science is that the front edge of the technology is accelerating much faster than the back end … in managing the risks,” said David Relman, a microbiologist at Stanford University School of Medicine. “It’s not just that we have a gap — we have a rapidly widening gap, as we speak. Every minute we sit here talking about what we need to do about the things that were just released, we’re already getting further behind.”
The Washington Post notes not every company deploys biosecurity software. But “A different approach, biosecurity experts say, is to ensure AI software itself is imbued with safeguards before digital ideas are at the cusp of being brought into labs for research and experimentation.”
“The only surefire way to avoid problems is to log all DNA synthesis, so if there is a worrisome new virus or other biological agent, the sequence can be cross-referenced with the logged DNA database to see where it came from,” David Baker, who shared the Nobel Prize in chemistry for his work on proteins, said in an email.