Intelligence Unleashed – An argument for education
This research paper gives arguments for how AI can benefit our education system. It argues that AI can support teachers in giving children the best education whilst not taking away from the humanity of it. AI can be beneficial in aspects such as online tutoring, collaborative learning, and tackling achievement gaps. While it does not […]
Measuring racial discrimination in algorithms
A study on the discriminatory impact of algorithms in pre-trial bail decisions.
Reducing bias in AI-based financial services
This US focused report considers four distinct ways of incorporating Artificial Intelligence into credit lending. It highlights the existing racial bias in credit scores, where white / non-hispanic individuals are likely to have a much higher credit score than black / African American individuals. And argues that although introducing AI could potentially exacerbate current biases, […]
Evaluating neural toxic degeneration in language models
This paper highlights how language models used to automatically generate text produce toxic, offensive and potentially harmful language. They describe various techniques that can be employed to avoid or limit this, but demonstrate that no current method is failsafe in preventing this entirely.
Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
According to this paper researchers from MIT and Stanford University, three commercially released facial-analysis programs from major technology companies demonstrate both skin-type and gender biases, The three programs’ error rates in determining the gender of light-skinned men were never worse than 0.8 percent. For darker-skinned women, however, the error rates ballooned — to more than […]
When your resume is (not) turning you down: Modelling ethnic bias in resume screening
CVs are worldwide one of the most frequently used screening tools. CV screening is also the first hurdle applicants typically face when they apply for a job. They seem particularly vulnerable to hiring discrimination. Despite of decades of legislation on equality and HR professionals’ commitment to equal opportunities – ethnic minority applicants are still at […]
Workforce View 2020
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 anxiety in workers due to automation.
The Future of Jobs Report 2020
Comprehensive report on the future of work, increase of automation/digitalisation of tasks and its impact on employment relations and workplace.
Solving The Problem Of Algorithm Bias In AI-Based Learning
This 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 lead to bias.
Using Simulated Data to Generate Images of Climate Change
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 […]
