Agent misalignment reduction refers to techniques ensuring AI systems act in accordance with intended goals, preventing harmful or unintended behaviors. It is used during training and deployment, employing methods like reward modeling and oversight. Developers, businesses, and end-users benefit by gaining safer, more reliable AI that avoids catastrophic errors and aligns with human values.
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