Cultural Alignment and Language Models: Examining Bias and Prompting Effects

This ArXiv article likely investigates how language models reflect and perpetuate cultural biases based on training data and prompting strategies. The research could reveal significant implications for fairness and responsible AI development across different cultural contexts.

• •Language models are shaped by the cultural data they are trained on, leading to potential biases.
• •Prompt engineering can influence the cultural output of language models, highlighting the importance of careful design.
• •Understanding cultural alignment is crucial for developing fair and globally applicable AI systems.