摘要: COVID-19 is reshaping the privacy landscape and calibrating priorities, but how long will it last?
From unprecedented demands for personal data, to new public-private data sharing alliances, responses to the coronavirus (COVID-19) pandemic have quickly elevated community health over data privacy. But the question remains: Will these priorities shift enterprise and consumer privacy practices moving forward, or will privacy shaming -- the practice of discouraging personal data collection, use or sharing via shaming -- prevail?
Many tech companies have recently announced unprecedented, collaborative initiatives to help halt the spread of the coronavirus by harnessing the power of community data collection and location tracking. And the accelerated demand for data to fuel related initiatives and help prevent future outbreaks will only increase.
Enterprises worldwide are recognizing the value of data and analytics, including predictive analytics, as part of their pandemic response and recovery. As business returns to the new normal, enterprises will continue to build a data-driven enterprise, having seen the power of data and analytics to drive better decision-making, cost savings and net new revenue. This will also enable meeting the rapidly growing interest and demand for personalized products and services.
But privacy shaming gets in the way of the very personal data collection and sharing programs required for personalization to be successful.
Data collection and sharing during COVID-19
Collecting relevant data, particularly at a global level, is complicated. However, the onset of COVID-19 has expanded data collection and sharing across unlikely partners, providing a rare opportunity for enterprises to reassess information privacy values and strategy while the topic of personal data use is top of mind.
Presently, there is a focus on geolocation tracking and aggregated data use to combat the virus, which sheds light into how data sharing and privacy is undergoing a temporary, short-term change. Individuals appear more willing to provide third parties with their data to do their part.
As one example, Stanford Medicine rolled out a voluntary National Daily Health Survey for COVID-19 to learn and predict which geographical areas will be most impacted by coronavirus based on how respondents are feeling. The portal is “currently experiencing a high volume of survey responses,” illustrating how individuals’ commitment to help save lives could be currently outweighing any hesitation around personal data sharing.
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