The Misinformation Edition of the Glass Room is an online version of a physical exhibition that explores different types of misinformation, teaches people how to recognise it and combat its spread.
An opinion piece in which examples are given of students who have been highly disadvantaged by exam software, including a muslim woman forced to remove her hijab by software, in order to prove she is not hiding anything behind it.
News article which argues that whilst AI facial recognition during exams might be fair, it is both an invasion of privacy and is at risk of bringing unwarranted biases.
This article details the algorithm used to inform A Level results for students who could not take exams due to the 2020 pandemic. The algorithm took into account the postcode of the student, which meant that students from lower income areas were more likely to have their grade reduced whilst students in high-income areas were […]
An outcry over alleged algorithmic bias against pupils from more disadvantaged backgrounds has now left teenagers and experts alike calling for greater scrutiny of the technology.
Case study explaining algorithm bias inherent in grade prediction for A Level students. Demonstrates the physical impact AI can have, if not scrutinised for bias.
This news example gives an example of bias present in an algorithm governing the first round of admissions into a medical university. The data used to define the algorithms output showed bias against both females and people with non-European-looking names.
A good introductory video to the use of AI in college admissions. Questioning at what point it is acceptable to completely remove the human oversight in admissions.
This video refers to a report from the University of Toronto’s Citizen Lab that raises concerns that the handling of private data by AI for immigration purposes could breach human rights. As AI tools are trained using datasets, before implementing those tools that target marginalized populations, we need to answer questions such as: Where does […]
Whilst some believe AI will increase police and sentencing objectivity, others fear it will exacerbate bias. For example, the over-policing of minority communities in the past has generated a disproportionate number of crimes in some areas, which are passed to algorithms, which in turn reinforce over-policing.