Facial recognition technology uses algorithms that detect faces’ unique features, such as the distance between the eyes, to create a mathematical representation that determines their similarity.
Privacy
May 18, 2020
The COVID crisis has shifted the data privacy debate away from its prior focus on individual rights to one more focused on collective needs and responsibilities—for example, when it comes to sharing and analyzing medial data related to the pandemic, or tracking individuals’ contacts. Rob and Jackie discuss these issues with noted scholar and public intellectual Amitai Etzioni.
May 11, 2020
As governments start easing lockdown restrictions, developing an effective contact tracing strategy has become a top priority to prevent a new surge of COVID-19 outbreaks.
April 8, 2020
Facial recognition technology uses algorithms that detect faces’ unique features, such as the distance between the eyes, to create a mathematical representation that determines their similarity.
April 1, 2020
ITIF hosted a video webinar where panelists offered different perspectives about how policymakers should strike the right balance on privacy, both during and after a pandemic.
March 11, 2020
Law enforcement authorities complain encryption makes it impossible for them to decipher the communications of criminals and terrorists, so they argue tech companies offering encrypted products and
March 10, 2020
In a joint Assembly hearing, ITIF testified on the benefits of facial recognition technology, existing protection from abuses, what the state can do to improve oversight and accountability, and why it should not impose a ban.
February 23, 2020
The most common facial-recognition applications are benign—and Fourth Amendment protections, coupled with deeply held views about civil liberties, put limits on what government can do.
February 17, 2020
ITIF wrote to a committee of the Wyoming state legislature, urging it to reject a bill that would create unjustifiably high restrictions on the use of data by broadband providers.
January 28, 2020
When it comes to sharing personal information, most of us are what the renowned privacy scholar Alan Westin called “privacy pragmatists”—we appreciate the value and convenience that today’s technological innovations offer, and we make decisions about which services we want to use and which transactions we want to engage in based on the costs and benefits of each opportunity.
January 27, 2020
A close look at data from a new NIST report reveals that the best facial recognition algorithms in the world are highly accurate and have vanishingly small differences in their rates of false-positive or false-negative readings across demographic groups.