Many large language models favor 'Western-centric tastes and values,' leading to alignment challenges for international users. Efforts to align AI chatbots with diverse user intentions may introduce biases compromising response quality.
Annotators adapting datasets and large language models for different regions may misinterpret the intended values, impacting the universal alignment goal of AI models.
The global AI chatbot market is rapidly growing, expected to reach nearly $67 billion by 2033. Increased demand for automated customer support services and AI advancements are driving this growth.
Collection
[
|
...
]