Victoria Krakovna–AGI Ruin, Sharp Left Turn, Paradigms of AI Alignment
The Inside View
Navigating AI Goal Misgeneralization
This chapter explores the challenges of goal misgeneralization in artificial intelligence, examining how AI systems may misinterpret their objectives. It highlights the importance of enhancing training data diversity, interpretability tools, and innovative methods like debate scenarios among AI systems to address alignment issues. The conversation further investigates the complexities of agency, goal-directed behavior, and the ongoing research efforts to align advanced machine learning systems with human intentions.
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