“Every piece of data ingested by a model plays a role in determining its behavior. The fairness, transparency, and representativeness of the data reflect directly in the LLMs' outputs. Ignoring ethical considerations in data sourcing can inadvertently perpetuate harmful stereotypes, misinformation, or gaps in knowledge. It can also infringe on the rights of data creators.” CopyrightGenerative AiResponsible AiCopyrightsAi EthicsLarge Language ModelsLlmLlm AiLlmsCopyright Infringement Book:Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype Source: Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype