id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-303137-g2pe3ad8	Moss, Emanuel	High Tech, High Risk: Tech Ethics Lessons for the COVID-19 Pandemic Response	2020-10-09		.txt	text/plain	5944	278	47	The tech companies that are driving the technological response to the COVID-19 pandemic have arranged their business models and organizational practices around building products that distribute upsides and downsides according to socio-historical patterns, as interpreted by machines, yet lack the capacity to ''understand just how pervasively. Given the profound threat of COVID-19, it is crucial to consider how the application of machine learning to the social challenges of a global pandemic can produce and distribute risk across society. 61 Over the past 2 years, we have been studying how those inside of Silicon Valley tech companies, which build the machine learning models that are most likely to directly affect people, go about understanding the impacts of machine learning and developing organizational practices to manage the effect they have on how risk is distributed across society.	./cache/cord-303137-g2pe3ad8.txt	./txt/cord-303137-g2pe3ad8.txt