South Korea uses mobile phone location data to track places where coronavirus patients had been and send text message warnings to individuals who are located in the exposed areas.
Data Privacy
Technological development has always outpaced privacy concerns, but never more so than in the past decade. Collection and centralization of personally identifiable information (PII), tracking of movements and digital surveillance are all at unprecedented levels. Regulations and laws are only just beginning to catch up to the ability of both governments and private entities to deploy these capabilities.
What exactly is there to worry about? The mass collection and centralization of data by giant multinationals such as Facebook and Google is as good of a place to start as any. Two decades of vacuuming up the personal data of users of various online services has created the most impressive marketing capabilities in history, but these profiles have astounding potential for damage when they are used the wrong way or fall into the wrong hands.
Unauthorized information that is captured in data breaches tends to find its way to massive “combo lists” that are sold and traded on the dark web. Social security numbers are added from this breach, home addresses and phone numbers from that one, personal health information from yet another. Soon, a frighteningly complete profile of millions of individuals is available to anyone willing to pay the asking price.
These are just the established data privacy issues. The emerging ones are even worse. High-quality facial recognition technology is just beginning to roll out across the public places of some countries. Artificial intelligence is not only making mass facial recognition possible, but magnifies the power and reach of any application that involves capturing and sorting information: scanning pictures, analyzing speech, sifting through text and location data. This threatens to not only shatter anonymity and privacy, but allow for highly advanced impersonation and take the concept of “identity theft” to new levels.
Some businesses chafe at the trouble and added expense of new and emerging data privacy regulations, but they are vital to both protecting rights and privacy and instilling confidence in end users. Customers want to be able to submit their payment information without worry about data breaches and identity theft, use services without wondering what is being done with their personal information and use devices without fear of surveillance or having location data tracked. The need for meaningful safeguards only grows greater as technological capabilities increase.
The development of smart apartments in U.S. has led to more IoT devices and data, providers need to know what it takes to stay compliant to data protection laws like CCPA.
Apple has released a major update for its Safari's Intelligent Tracking Prevention (ITP) which blocks all third-party cookies by default for all Safari users.
At a rate of about two million additional active users per month, Zoom privacy issues on the platform’s data collection policies, vulnerabilities and monitoring tools are gaining attention.
Use of biometrics will help to shorten lines and improve customer experience in airports but adoption is not high due to lack of understanding of the technology and its use cases.
More than 110 civil society organizations have jointly issued a statement against the COVID-19 digital surveillance performed by governments around the world to curb the pandemic.
Two Illinois schoolchildren are suing Google for collecting biometric data including face scans of millions of school students through its classroom software tools.
API that provides list of Android apps installed on a device may allow advertisers to fingerprint users' demographic information and track what they access on the internet.
Countries are working on contact tracing apps that have data safeguards built in to address privacy concerns while fighting against COVID-19. Can these apps really preserve privacy?
Council of Europe recently published a guideline on how to use algorithms and automation in algorithmic decision making while protecting human rights at the same time.









