To confront bias, scientists say we must examine the ontological frameworks within large language models—and how our perceptions influence outputs.
With the rapid rise of generative AI tools, eliminating societal biases from large language model design has become a key industry focus. To address such biases, research has focused on considering the values embedded in these systems. Toward this goal, researchers have focused on examining the values implicitly or explicitly embedded in the design of large language models (LLMs).
However, a recent paper…
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