This article explains how make-up can be used both as a way to evade facial recognition systems, but also as an art form.
Machine Bias – There’s software used across the country to predict future criminals and it’s biased against blacks
This is an article detailing a software which is used to predict the likelihood of recurring criminality. It uses case studies to demonstrate the racial bias prevalent in the software used to predict the ‘risk’ of further crimes. Even for a similar crime, a white criminal would be much more likely to be judged low-risk. […]
A 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.
Explains (from a US perspective) how the development of machine learning and algorithms has left financial services at risk of exacerbating biases. Using the example of lending, the article explains how algorithms incorporate biases into our systems, and what organisations can do to limit risk, particularly from a legal perspective.
There is data which predicts that the introduction of AI into the financial system will bring with it increased racial bias and discrimination. Through a case study of mortgage applications, this article shows how bias might be introduced to AI systems by either 1. bias within historical data, and 2. inherent biases of AI programmers […]
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, […]
UN Working Paper evidence base for conceptual framework of cyclic relationship between climate change and social inequality.
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.
This report provides an overview of AI and Climate Change with considerations for AI Climate Solutions. It discusses values-based climate communication and the difference between climate engagement and climate manipulation. A good source on localising climate visualisation, and how AI has been utilised to do this (including the risks).
This article argues that leading AI ethics researchers, such as Timnit Gebru, are often promised total academic freedom when recruited or interviewed for in-house roles at technology companies. However, internal roadblocks, lack of employee diversity, and hierarchical issues limit the impact of this research which aims to promote equity, fairness, and accountability in AI products. […]