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[…] dilemmas. Social resistance to the excesses of the new data economy is becoming increasingly visible and leads to calls for new legislation. Commentators argue that a relatively small number of companies are disproportionately profiting from consumers’ data, and that the economic gap continues to grow between technology companies and the consumers whose data drives the […]

[…] (including ad platforms) have utilized the Act to guide their anti-discrimination efforts (see the Network Advertising Initiative’s Code of Conduct). According to the Human Rights Campaign, the number of Fortune 100 companies that have publicly pledged to non-discrimination employment policies on the basis of gender identity increased from 11% (gender identity) and 96% in […]

[…] shouldn’t disclose personal identifiable information from student education records to the media even if it determines a health or safety emergency exists. But is merely revealing a number going to enable anyone to identify which athletes tested positive? That’s up for debate. Amelia Vance is the director of youth and education privacy at the […]

[…] 10 votes to 1, the Court halted the effectiveness of the Presidential Executive Order (MP 954/2020) that mandated telecom companies to share subscribers’ data (e.g., name, telephone number, address) of more than 200 hundred million individuals with the Brazilian Institute of Geography and Statistics (IBGE), the country’s agency responsible for performing census research. More […]

[…] federal agency), to state law enforcement (such as Attorneys General), to various kinds of private rights of action (by which individuals can challenge violations in court). A number of Senate and House Democrats and privacy advocates are proponents of a federal private right of action (usually in addition to federal agency enforcement). Many privacy […]

[…] measurement to mobile apps upon request. The graphic describes the different entities that are able to access, use, or share various types of location data, including cell phone carriers, mobile apps and app partners, and downstream recipients. Finally, the graphic describes the factors that make location data more or less risky including persistence and […]

[…] revealing of individual behavior when it is more frequently collected and for longer amounts of time. As a result, using a persistent identifier (such as an IMEI Number or Advertising ID) usually creates more risk than using a random or rotating identifier. Redacting home and work locations. Known locations that are tied to an […]

[…] turn to what Apple and Google should be doing to support local health departments. First, let’s note that Apple and Google haven’t invented the idea of using a phone for exposure notification or contact tracing during this pandemic. Health departments in countries that moved quickly to respond to the outbreak quickly commissioned apps that used the […]

[…] response to changing contexts, otherwise known as task switching. In order to ensure that the data sharing project minimized potential privacy risks, both the parties took a number of steps, including:  De-identifying the data according to HIPAA Safe Harbor standards,  Maintaining a high level of information security throughout the project lifecycle, Ensuring alignment and […]

[…] uses of GIS data from multiple sources, such as Esri, HERE, Garmin, and USGS, and county level data, Definitive Healthcare built a mapping tool to identify the number of licensed and staffed hospital beds available. This healthcare data analytics company does not promise to use AI tools, but incorporates many of the sources of […]