Recent research has raised alarming concerns about covert racism in AI language models. Experts from the Allen Institute for AI, the University of Oxford, Stanford University, LMU Munich, and the University of Chicago conducted the study. It revealed that these models, including GPT4, manifest bias against African American Vernacular English (AAE) speakers. This troubling revelation brings to light how AI can perpetuate racial stereotypes, leading to unfair and discriminatory outcomes. What Did The Study Find? The study, co-authored by Valentin Hofmann, Pratyusha Ria Kalluri, Dan Jurafsky, and Sharese King, found
Google and Howard University have announced a new partnership, Project Elevate Black Voices, to build a high-quality African-American English (AAE) speech dataset. The new partnership will allow Howard University to share the dataset with those looking to improve speech technology while establishing a framework for responsible data collection, ensuring the data benefits Black communities. Google has confirmed that the university will retain ownership of the dataset and licensing. Automatic Speech Recognition and Black People Automatic Speech Recognition (ASR) technology allows humans to use their voices to speak with a computer
