Abstract
Artificial intelligence (AI) has the potential to greatly improve society, but as with any powerful technology, it comes with heightened risks and responsibilities. Current AI research lacks a systematic discussion of how to manage long-tail risks from AI systems, including speculative long-term risks. Keeping in mind that AI may be integral to improving humanity's long-term potential, there is some concern that building ever more intelligent and powerful AI systems could eventually result in systems that are more powerful than us; some say this is like playing with fire and speculate that this could create existential risks (x-risks). To add precision and ground these discussions, we review a collection of time-tested concepts from hazard analysis and systems safety, which have been designed to steer large processes in safer directions. We then discuss how AI researchers can realistically have long-term impacts on the safety of AI systems. Finally, we discuss how to robustly shape the processes that will affect the balance between safety and general capabilities.
Abstract (translated)
URL
https://arxiv.org/abs/2206.05862
