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AI Seoul Summit 2024: Decoding the International Scientific Report on AI Safety

Updated: Nov 16

The AI Seoul Summit on AI Safety, held in South Korea in 2024, has released a comprehensive international scientific report on AI safety. This report stands out from the myriad of AI policy and technology reports due to its depth and actionable insights. Here, we break down the key points from the report to understand the risks and challenges associated with general-purpose AI systems.


1. The Risk Surface of General-Purpose AI


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"The risk surface of a technology consists of all the ways it can cause harm through accidents or malicious use. The more general-purpose a technology is, the more extensive its risk exposure is expected to be. General-purpose AI models can be fine-tuned and applied in numerous application domains and used by a wide variety of users [...], leading to extremely broad risk surfaces and exposure, challenging effective risk management."

General-purpose AI models, due to their versatility, have a broad risk surface. This means they can be applied in various domains, increasing the potential for both accidental and malicious harm. Managing these risks effectively is a significant challenge due to the extensive exposure these models have.

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