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Questions and Answers
What is the recommended approach to managing AI systems with human-competitive intelligence?
What is the recommended approach to managing AI systems with human-competitive intelligence?
- Develop them only if their effects are positive and risks are manageable (correct)
- Develop them without any safety protocols in place
- Develop them as quickly as possible without proper planning and management
- Develop them without working with policymakers
What is the recommended pause time for training AI systems more powerful than GPT-4?
What is the recommended pause time for training AI systems more powerful than GPT-4?
- 3 months
- 6 months (correct)
- 1 month
- 12 months
What should AI labs and independent experts use the pause time to do?
What should AI labs and independent experts use the pause time to do?
- Ignore the pause and continue training AI systems
- Develop more powerful AI systems
- Stop all AI research and development
- Develop shared safety protocols for advanced AI design and development (correct)
What should AI research and development focus on?
What should AI research and development focus on?
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What should AI developers do in relation to policymakers?
What should AI developers do in relation to policymakers?
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What should the AI governance systems include?
What should the AI governance systems include?
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What is the key to enjoying a flourishing future with AI?
What is the key to enjoying a flourishing future with AI?
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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.
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