Description: Veracity refers to the conformity with facts and the accuracy in the representation of information. In the context of ethics and bias in artificial intelligence (AI), veracity is essential to ensure that AI systems operate fairly and transparently. A lack of veracity can lead to erroneous decisions and perpetuate existing biases, affecting individuals and communities. In agile methodologies, veracity translates to honesty and transparency in communication among team members, which is vital for project success. In the realm of large language models, veracity becomes a challenge, as these models can generate information that seems plausible but is not always accurate. Therefore, veracity is a key concept that encompasses the precision of information, transparency in processes, and accountability in decision-making, being crucial in the interaction between humans and machines.
