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Control methods for AI from "summary" of Superintelligence by Nick Bostrom
Control methods for AI are crucial in ensuring the safety and alignment of advanced artificial intelligence systems. One approach to control is to design the AI system in such a way that it is inherently safe and beneficial. This might involve encoding the AI's goals and values into its design from the outset, ensuring that its actions are always in line with human interests. Another control method is the use of external supervision or oversight. In this approach, human operators or other AI systems would monitor the actions of the advanced AI and intervene if necessary to prevent harmful outcomes. This could involve setting up a system of checks and balances to ensure that the AI remains under human control at all times. A third method of control is the use of "boxing" techniques, which involve placing constraints on the AI's capabilities or access to information. This could include physically isolating the AI system from the broader internet or limiting its ability to modify its own code. By restricting the AI's power in this way, we can reduce the risk of it behaving in harmful or unpredictable ways. It is important to note that no single control method is likely to be sufficient on its own. Instead, a combination of approaches will likely be necessary to ensure the safe and beneficial deployment of advanced AI systems. Developing effective control methods for AI is a complex and challenging task, but it is essential if we are to avoid the potentially catastrophic consequences of unaligned superintelligence.
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