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Giving Compass' Take:
· In this article from 80,000 Hours, Niel Bowerman explains the need to build expertise to work on U.S. policies for artificial intelligence. Because the government is expected to play a large role in the advancement of AI, it is important to have experts on hand to create effective policies.
· What are some concerns with the advancement of AI? How can we support AI for good?
At the moment most cutting-edge AI R&D is done by private, non-state actors. Leading AI labs that are working towards developing AGI include DeepMind and OpenAI.
Researchers at DeepMind and OpenAI are already studying the AI policy challenge, and conversations on how to make progress on these issues are happening via industry groups such as Partnership on AI where Terah Lyonsworks.
Governments often have a mandate to address pressing social problems and thus invest less in long-term, more speculative problems. With AI, the combination of uncertainty and the potentially rapid rate of technological advancement mean that long-term effects might be decision-relevant soon. However we have not seen evidence of much engagement on more speculative, long-term risks by governments.
There are a number of ways to improve coordination between the actors that may be involved in this challenge. Given China’s ambitions to lead the world in AI by 2030, we think another promising option is becoming a “China specialist” with a focus on AI.
Read the full article about US artificial intelligence policies by Niel Bowerman at 80,000 Hours.