Many AI researchers seem to firmly believe that the technology they are developing could someday prove very dangerous. What’s less clear—even among AI’s technical elite—is precisely how to keep these mercurial algorithms in check.
\n\nIn recent years researchers have thrown around all sorts of ideas for preventing AI from turning nasty. They include less controversial plans such as tighter government regulations, new ways of measuring progress, and probing the inner workings of models, as well as more outlandish proposals like placing tracking devices inside GPUs, and even ceremonially destroying large numbers of AI chips.
\n\nWith political and public pressure now growing for a more measured approach to building AI, however, the answer to keeping AI safe is still unclear.
\n\n“We need to start treating this as a research problem,” says Raymond Douglas, an AI researcher at the University of Toronto and coauthor of a new report titled Pacing the Frontier, A Research Agenda, which warns that slowing down AI development remains an unsolved puzzle. “We don't really understand what our options even are or what they will do.”
\n\nTalk of AI doom has reached a fever pitch in recent weeks after an Anthropic researcher left the company and warned that…
Original source: https://www.wired.com/