The article discusses methods to bias Artificial General Intelligence (AGI) systems towards human-friendliness, particularly in open-source projects. It explores nine techniques, including ethical knowledge acquisition, ethical interaction, stable goal systems, slow recursive self-improvement, linking AGI with the Global Brain, fostering consensus, creating AGI communities, co-advancing AGI software and ethics, and developing AGI sooner. The article emphasizes the importance of integrating ethical considerations into AGI development to mitigate risks associated with advanced AGI systems.
documents/EFTA01175884.pdf
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