🔒 The end of reading tea leaves? AI regulations (will be) based on facts

For years, the AI debate has been driven by big promises and equally big warnings that often couldn’t be confirmed. The UN is now trying to build a scientific evidence base that will let governments assess the technology based on data, not on the narratives of its makers.

Redakcja

In recent years, the debate over artificial intelligence has been driven mostly by predictions. Some promised a dramatic surge in productivity and solutions to problems governments have struggled with for decades. Others predicted mass unemployment, a loss of control over the technology, and sometimes even the end of human civilization. They had one thing in common: they were talking about a future that couldn’t yet be tested.

The UN is trying to bring something less flashy—but perhaps far more important—into this conversation: a shared knowledge base. Published in July, the first report of the Independent International Scientific Panel on AI and the inaugural Global Dialogue on AI Governance in Geneva didn’t create a global regulator, but they showed that governments increasingly need independent data, not more presentations prepared by technology companies.