Data, Tech & Black Communities

Data, Tech & Black Communities

#UK #Covid-19 #COVID-19
Pulse oximetry racial bias report
Pulse oximetry racial bias report
There is a growing body of evidence, however, that pulse oximetry is less accurate in darker skinned patients. Given the increased mortality amongst ethnic minority patients during the Covid-19 pandemic, it is possible that the differential accuracy of pulse oximetry is a contributing factor to this health inequality
tgyateng69·nhsconfed.org·
Pulse oximetry racial bias report
Covid Vaccine: Employees Who Get Shots Enjoy More Office Benefits Than Holdouts - Bloomberg
Covid Vaccine: Employees Who Get Shots Enjoy More Office Benefits Than Holdouts - Bloomberg
In the U.K., a recent poll suggested that while Britons were strongly supportive of vaccine passports in principle, agreement broke down when asked whether they should be compulsory for pub visits. For marginalised groups, this feels like nudge theory to overcome a reluctance (based on real trauma) to trust public health services: “some employees who don’t want to get the vaccine feel harassed and ostracized.”
·bloomberg.com·
Covid Vaccine: Employees Who Get Shots Enjoy More Office Benefits Than Holdouts - Bloomberg
Inside the ‘Covid Triangle’: a catastrophe years in the making | Free to read
Inside the ‘Covid Triangle’: a catastrophe years in the making | Free to read
High levels of deprivation and job insecurity, vast income inequality, housing discrimination and medical disparities have long had a severe impact on the tangle of communities and ethnic minority populations that live in these boroughs. But when combined with the necessity to go to work, to take public transport and to share space in densely packed housing, they also provided the perfect breeding ground for a deadly virus. The domino effect would prove catastrophic.
·ft.com·
Inside the ‘Covid Triangle’: a catastrophe years in the making | Free to read
Artificial Intelligence in Hiring: Assessing Impacts on Equality
Artificial Intelligence in Hiring: Assessing Impacts on Equality
The use of artificial intelligence (AI) presents risks to equality, potentially embedding bias and discrimination. Auditing tools are often promised as a solution. However our new research, which examines tools for auditing AI used in recruitment, finds these tools are often inadequate in ensuring compliance with UK Equality Law, good governance and best practice. We argue in this report that a more comprehensive approach than technical auditing is needed to safeguard equality in the use of AI for hiring, which shapes access to work. Here, we present first steps which could be taken to achieve this. We also publish a prototype AI Equality Impact Assessment which we plan to develop and pilot.
·up.raindrop.io·
Artificial Intelligence in Hiring: Assessing Impacts on Equality