Capability control method

Further reading

Bostrom, Nick (2014) Superintelligence: Paths, Dangers, Strategies, Oxford: Oxford University Press, pp. 129-138.

A capability control method is a method that attempt to prevent undesirable outcomes from artificial intelligence by restricting what the AI can do. Capability control methods encompass AI boxing, incentive methods (including anthropic capture), stunting, and tripwires (Bostrom 2014: 129-138).tripwires.^[1] Capability control methods may be contrasted with motivation selection methods, which attempt instead to restrict what the AI wants to do.

Bibliography

Bostrom, Nick (2014) Superintelligence: Paths, Dangers, Strategies, Oxford: Oxford University Press.

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   Bostrom, Nick (2014) Superintelligence: Paths, Dangers, Strategies, Oxford: Oxford University Press, pp. 129-138.

A Capabilitycapability control methodsmethod are methodsis a method that attempt to prevent undesirable outcomes from artificial intelligence by restricting what the AI can do. TheseCapability control methods encompass AI boxing, incentive methods (including anthropic capture), stunting, and tripwires (Bostrom 2014: 129-138). Capability control methods may be contrasted with motivation selection methods, which attempt instead to restrict what the AI wants to do.

Related entries

AI alignment | AI boxing | anthropic capture | motivation selection method

Capability control methods are methods to prevent undesirable outcomes from artificial intelligence by restricting what the AI can do. These methods encompass AI boxing, incentive methods (including anthropic capture), stunting, and tripwires (Bostrom 2014: 129-138). Capability control methods may be contrasted with motivation selection methods, which attempt instead to influencerestrict what the AI wants to do.

Capability control methods are methods to prevent undesirable outcomes from artificial intelligence by restricting what the AI can do. These methods encompass AI boxing, incentive methods (including anthropic capture), stunting, and tripwires (Bostrom 2014: 129-138). Capability control methods may be contrasted with motivation selection methods, which attempt instead to restrictinfluence what the AI wants to do.

Bibliography

Bostrom, Nick (2014) Superintelligence: Paths, Dangers, Strategies, Oxford: Oxford University Press.

Capability control methods are methods to prevent undesirable outcomes from artificial intelligence by restricting what the AI can do. Capability control methods may be contrasted with motivation selection methods, which attempt instead to restrict what the AI wants to do.

Capability control methods are methods to prevent undesirable outcomes from artificial intelligence by restricting what the AI can do.