How Much Do You Know About Managing the Risks of AI Development?

Study Notes

AI systems with human-competitive intelligence pose risks to society and should be managed with care and resources.
AI labs are in a race to develop more powerful digital minds without proper planning and management.
Powerful AI systems should only be developed if their effects are positive and risks are manageable.
A pause of at least 6 months is called for on the training of AI systems more powerful than GPT-4.
AI labs and independent experts should use this pause to develop shared safety protocols for advanced AI design and development.
AI research and development should focus on making current systems more accurate, safe, interpretable, transparent, robust, aligned, trustworthy, and loyal.
AI developers must work with policymakers to accelerate development of robust AI governance systems.
The governance systems should include new regulatory authorities, oversight and tracking of AI systems, provenance and watermarking systems, auditing and certification ecosystem, liability for AI-caused harm, public funding for AI safety research, and institutions for coping with economic and political disruptions.
Humanity can enjoy a flourishing future with AI if it is engineered for the clear benefit of all and society has a chance to adapt.
Society has hit pause on other technologies with potentially catastrophic effects on society, and it can do so with AI as well.