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Responsible AI Blog

Advances in Ethics, Privacy, Security, Fairness, Reliability, Transparency, and Accountability in Natural Language Processing.

Experts Share Perspectives on How Advanced NLP Technologies Will Shape Their Industries and Unleash Better & Faster Results. According to the data collected by Forbes, over a half (53.3% to...

The field of Natural Language Processing (NLP) has been greatly impacted by the advancements in machine learning, leading to a significant improvement in linguistic understanding and generation. However, new challenges...

Often in Natural Language Processing (NLP), we often judge a model’s success based on how accurate it is. But this approach can be misleading because it doesn’t show how well...

What is Clinical Bias? Clinical bias in LLM (Language Learning Models) refers to the unfair or unequal representation or treatment based on medical or clinical information. This means that if...

John Snow Labs developed LangTest to address biases in language models. The library provides comprehensive tests to detect biases in language models. We introduce an end-to-end NLP pipeline, which involves...
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