Case Study: Explores the potential of using images from a simulated 3D environment to improve a domain adaptation task carried out by the MUNIT architecture, aiming to use the resulting images to raise awareness of the potential future impacts of climate change. The case study aims to develop an interactive website that, given a user-entered […]
A study on the discriminatory impact of algorithms in pre-trial bail decisions.
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 […]
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.
A good summary of the differences between predictive analytics – used in AI – and traditional methods, in terms of methods and impact.
The open letter highlights why crime predicting technologies tend to be inherently racist.
Ad-delivery is controlled by the advertising platform (eg. Facebook) and researchers have found evidence for particular ad delivery skewing along racial lines for housing ads and for jobs (job ads for janitors and taxi drivers were shown to a higher number of minorities compared to white users).