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Longterm AI safety strategies from "summary" of Superintelligence by Nick Bostrom
Longterm AI safety strategies involve planning for the potential risks and challenges posed by the development of superintelligent machines. These strategies aim to ensure that advanced AI systems are aligned with human values and goals, and do not pose a threat to humanity. There are various approaches to addressing AI safety concerns, including designing AI systems with built-in safeguards and fail-safes, implementing strict regulations and oversight, and developing advanced monitoring and control mechanisms. These strategies are intended to minimize the risks associated with superintelligent AI, such as unintended consequences, malicious use, or the emergence of a superintelligent system that is indifferent or hostile to human values. One key aspect of longterm AI safety strategies is the con...
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