Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification – MIT Media Lab Recent studies demonstrate that machine learning algorithms can discriminate based on classes like race and gender. In […]
Read MoreResume screening is the first hurdle applicants typically face when they apply for a job. Despite the many empirical studies showing bias at the resume‐screening stage, fairness at this funnelling […]
Read MoreHigh definition research into employee attitudes Comprehensive report on worker sentiment about the general outlook for the workplace and the long-term prospects for the jobs they’re holding. High levels of […]
Read MoreAfter years of growing income inequality, concerns about technology-driven displacement of jobs, and rising societal discord globally, the combined health and economic shocks of 2020 have put economies into freefall, […]
Read MoreThis white paper takes a deeper dive into the data and algorithm used to underestimate the pass rate of students of certain nationalities, looking at how data and modelling can […]
Read MoreA case study from ResearchGate We present a project that aims to generate images that depict accurate, vivid, and personalized outcomes of climate change using Cycle-Consistent Adversarial Networks (CycleGANs). Case […]
Read MoreA study on the discriminatory impact of algorithms in pre-trial bail decisions.
Read MoreRacial disparities in automated speech recognition Automated speech recognition (ASR) systems are now used in a variety of applications to convert spoken language to text, from virtual assistants, to closed […]
Read MoreFacial recognition is not the next generation of CCTV. Whilst CCTV takes pictures, facial recognition takes measurements. Measurements of the distance between your eyes, the length of your nose, the […]
Read MoreA research paper about race and AI chatbots Why is it so hard for AI chatbots to talk about race? By researching databases, natural language processing, and machine learning in […]
Read MoreA paper on racial bias in hate speech Technologies for abusive language detection are being developed and applied with little consideration of their potential biases. We examine racial bias in […]
Read MoreRisk of racial bias in hate speech detection This research paper investigates how insensitivity to differences in dialect can lead to racial bias in automatic hate speech detection models, potentially […]
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