Understanding bias and discrimination in AI: Why sociolinguistics holds the key to better Large Language Models and a fairer world
The language ‘engines’ that power generative artificial intelligence (AI) are plagued by a wide range of issues that can hurt society, most notably through the spread of misinformation and discriminatory content, including racist and sexist stereotypes.
In large part these failings of popular AI systems, such as ChatGPT, are due to shortcomings with the language databases upon which they are trained.
To address these issues, researchers from the University of Birmingham have developed a novel framework for better understanding large language ...










