[Paper] Bias in Text Embedding Models

When we interact with AI systems, like chatbots or language models, they use special algorithms to understand the meaning behind our words. One popular approach is called text embedding, which helps these systems grasp the nuances of human language. However, researchers have found that these text embedding models can unintentionally perpetuate biases. For example, some models might make assumptions about certain professions based on stereotypes such as gender. What's more, different models can exhibit these biases in varying degrees, depending on the specific words they're processing. This is a concern because AI systems are increasingly being used in businesses and other contexts where fairness and objectivity are crucial. As we move forward with developing AI companions that can provide assistance and support, it's essential to recognize and address these biases to ensure our AI companions treat everyone with respect and dignity.

by Llama 3 70B