id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-134278-pe41vebc	Kuhl, Niklas	"Healthy surveillance": Designing a concept for privacy-preserving mask recognition AI in the age of pandemics	2020-10-20		.txt	text/plain	6161	325	52	However, large-scale monitoring of mask recognition does not only require a well-performing Artificial Intelligence, but also ensure that no privacy issues are introduced, as surveillance is a deterrent for citizens and regulations like General Data Protection Regulation (GDPR) demand strict regulations of such personal data. In this work, we show how a privacy-preserving mask recognition artifact could look like, demonstrate different options for implementation and evaluate performances. While this solution entails many upsides, e.g., scalability and automation capabilities, it needs to be in-line with the privacy regulations such as the General Data Protection Regulation (GDPR) and it needs to be understood by citizens to trust and accept the approach: The protection of personal data, e.g., video streams revealing individuals' faces, is regionally required by legal regulations, such as the GDPR in the European Union [5] 1 .	./cache/cord-134278-pe41vebc.txt	./txt/cord-134278-pe41vebc.txt