Open Access. Powered by Scholars. Published by Universities.®

Computer Law Commons

Open Access. Powered by Scholars. Published by Universities.®

Health Law and Policy

Seattle Journal of Technology, Environmental & Innovation Law

Articles 1 - 2 of 2

Full-Text Articles in Computer Law

The Exacerbating Role Of Technological And Connectivity Challenges On Older Detroiters’ Health In A Pandemic, Nicholas Schroeck, Carrie Leach May 2023

The Exacerbating Role Of Technological And Connectivity Challenges On Older Detroiters’ Health In A Pandemic, Nicholas Schroeck, Carrie Leach

Seattle Journal of Technology, Environmental & Innovation Law

The COVID-19 pandemic hit communities of color hard. The City of Detroit was particularly vulnerable to COVID-19 due to racial, socioeconomic, and environmental health factors. To analyze the exacerbating role of technology and connectivity challenges on older Detroiters' health in a pandemic, we first examined Detroit’s demographics. This analysis involved looking at the continued evolution of the City's population toward older adults, as well as the impact of COVID-19 and the healthcare services on Detroit’s elder population. Next, we examined Detroit’s internet access challenges, including the presence of digital exclusion among older adults in Detroit, the impact of COVID-19 on …


Ai Regulation In Health Care: How Washington State Can Conquer The New Territory Of Ai Regulation, Natalie Shen Jan 2023

Ai Regulation In Health Care: How Washington State Can Conquer The New Territory Of Ai Regulation, Natalie Shen

Seattle Journal of Technology, Environmental & Innovation Law

  1. The use of artificial intelligence both generally and in the health care field has exploded over the last decade. AI is now used in the health care field in areas like disease diagnostics, patient engagement, and administrative tasks. In disease diagnostics specifically, AI is being used to make life-altering diagnoses. This technology, however, does not come without its risks. Specifically, inherent bias is deeply rooted in the AI algorithms. This is because humans are inherently bias, and humans are the people creating the AI algorithms. The problem is, however, is that there are no federal regulations to mitigate the risks …