Human AI Alignment
Human-AI alignment focuses on ensuring artificial intelligence systems act in accordance with human values and intentions, a crucial challenge given AI's increasing capabilities. Current research investigates methods for evaluating and improving this alignment, exploring techniques like reinforcement learning with human feedback and analyzing how large language models (LLMs) interpret and respond to nuanced human communication, including uncertainty and values. This work is vital for building trustworthy and beneficial AI systems, impacting both the development of robust AI architectures and the ethical considerations surrounding their deployment in various societal contexts.
Papers
September 22, 2024
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