Racial disparities in automated speech recognition

a graph showing results for 5 ASR systems when used by black and white Americans

Analysis of five state-of-the-art automated speech recognition (ASR) systems—developed by Amazon, Apple, Google, IBM, and Microsoft—to transcribe structured interviews conducted with white and black speakers. Researchers found that all five ASR systems exhibited substantial racial disparities and highlight these disparities may actively harm African American communities. For example, when speech recognition software is used by […]

Unmasking Facial Recognition

image of a PDF document

A report exploring the racial bias challenges of the police’s use of live facial recognition technology in the United Kingdom. It focuses on the implications of the technology for people of colour and Muslims – two heavily surveilled groups in society.

Let’s Talk About Race: identity, chatbots, and AI

image of a PDF document

This paper questions how to develop chatbots that are better able to handle the complexities of race-talk – gives the example of the Microsoft bot Zo, which used word filters to detect problematic content and redirect the conversation. The problem was that this is a very crude method, and what topics are deemed `unacceptable’ is […]

Facial recognition

Commercial AI facial recognition systems tend to misclassify darker-skinned females more than any other group (lighter-skinned males being the most accurately classified).