By Amber Roguski. This is the second post in a two-part blog series. It explores the under-representation of Minority Ethnic individuals as participants in biomedical research. This article explores racial bias and exclusion within biomedical research. White People are 87% more likely to be included in medical research than people from a Minority Ethnic Background, […]
Read MoreWhen it comes to decision making, it might seem that computers are less biased than humans. But algorithms can be just as biased as the people who create the… Quick, concise Axios video that describes algorithmic bias, how and why human bias ends up in systems used for hiring and criminal justice among other things.
Read MoreArtificial intelligence (AI) is making rapid inroads into many aspects of our financial lives. Algorithms are being deployed to identify fraud, make trading decisions, recommend banking products, and evaluate loan applications. This is helping to reduce the costs of financial products and improve th… Through a case study of mortgage applications, this article shows how […]
Read MoreAs protests against police brutality and in support of the Black Lives Matter movement continue in the wake of George Floyd’s killing, protection against mass surveillance has become top of mind. This article explains how make-up can be used both as a way to evade facial recognition systems, but also as an art form.
Read MoreA New Jersey man was accused of shoplifting and trying to hit an officer with a car. He is the third known black man to be wrongfully arrested based on face recognition.
Read MoreAI was supposed to be the pinnacle of technological achievement — a chance to sit back and let the robots do the work. While it’s true AI completes complex tasks and calculations faster and more accurately than any human could, it’s shaping up to need some supervision. There is data which predicts that the introduction […]
Read MoreTimnit Gebru and Google Timnit Gebru is one of the most high-profile Black women in her field and a powerful voice in the new field of ethical AI, which seeks to identify issues around bias, fairness, and responsibility. Google hired her, then fired her. This article argues that leading AI ethics researchers, such as Timnit […]
Read MoreIn 2018, Amazon’s use of AI for hiring was discovered to favour male job candidates, because its algorithms had been trained on 10 years’ worth of internal data that heavily skewed male. The algorithm was trained, in effect, to believe that male candidates were better than female candidates.
Read MoreThis video argues that hiring is largely analogue and broken. This leads to major problems such as inefficiency, ineffectiveness (50% of first-year hires fail), poor candidate experience, and lack of diversity. The hiring process is plagued by gender bias, age bias, socioeconomic bias, and racial bias. Pymetrics intentionally audits algorithms to weed out unconscious human […]
Read MoreAccounting giant PwC has come under fire for the development of a facial recognition tool that logs when employees are absent from their computer screens while they work from home. The technology, which is being developed specifically for financial institutions, recognises the faces of workers via t… PwC has come under fire for the development […]
Read MoreWill AI eliminate more jobs than it creates? Experts weigh in on a hot topic that impacts almost every industry. The impact of AI on future jobs.
Read MoreArtificial intelligence can replace repetitive tasks, but it doesn’t have the empathy to lead. View of an AI expert on human job loss. Provides an anecdotal view from an AI expert on what jobs are already being displaced with AI and automation.
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