Independent International Scientific Panel on Artificial Intelligence

Reliable methods for retaining control over highly autonomous AI systems are lacking. There are no scientific guarantees that AI agents will not violate instructions, and evidence is accumulating of cases where they already violate them. In laborator...

Economic and labour gains and their equitable distribution are not automatic: with complementary investments in skills, workflows, infrastructure and labour-market institutions, technology can create new jobs that do not exist right now.

High-capability open source models are difficult to control. Gated or retracted access is not possible once a model has been released into the open domain, leaving the possibility of malicious application.

Liability, oversight and incident-reporting frameworks need to account for attribution and operational control, to ensure that we, as a society, do not build and deploy systems with a potential for catastrophic harm.

Researchers also consistently advocate for rigorous measurement and evaluation protocols to assess a model’s safety prior to publication. International bodies like the United Nations can play a critical role in coordinating global standards, ensuring...