The Potential for AI in healthcare
This report discusses current applications of AI as well as potential future applications of AI in the healthcare system. The key categories of applications involve diagnosis and treatment recommendations, patient engagement and adherence, and administrative activities.
Can we trust AI not to further embed racial bias and prejudice?
Journalist Poppy Noor investigates how black people with melanoma are being underserved in healthcare, and the link to the racist algorithms driving new cancer software. Most of these algorithms use non-representative data, trained on majority white skin patients, resulting in black patients not being diagnosed.
Health Care AI Systems are Biased
This article explains how bias in AI systems is contributing to the exacerbation of racial health disparities. There is a huge issue with the misrepresentation of our data sets, which could result in health systems that do not correctly identify nor treat illnesses in non-white patients. For example, skin-cancer detection algorithms trained on light-skinned individuals, […]
AI reveals differences in appearance of cancer tissue between racial populations
Artificial Intelligence technologies are being used to understand potential differences in prostate cancer tissues between racial populations; cancer tissues manifest differently in black and white patients. This research is revealing the racial bias in AI systems used to diagnose prostate cancer. Algorithmic models are trained on data from majority white populations, which means that prostate […]
Limiting racial disparities and bias for wearable devices in health science research
Consumer wearables are devices used for tracking activity, sleep and other health-related outcomes, intended to help people reach their wellness goals. However these wearables are less accurate for people with darker skin tones, this is especially worrying as these devices, and their data are being utilised in health-related research. Since skin tones affect algorithmic output.
Dissecting racial bias in an algorithm used to manage the health of populations
Research article examining racial bias in health algorithms. The research shows that a widely used algorithm, which affects millions of patients, exhibits a significant racial bias. There is evidence that Black patients, who are assigned the same level of risk as white patients by the algorithm, are actually much sicker. This racial discrimination is reducing […]
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, […]
Artificial Intelligence & Climate Change: Supplementary Impact Report
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).
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.