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With the introduction in 2017 of the Face ID feature on the iPhone X, Apple brought face recognition technology to the forefront for many people. While the development of face recognition technology began in the 1960s, it is the increase in computing power and new device form factors, that has enabled the technology to gain more widespread adoption. Facial recognition today is commonly used to unlock phones, open new digital bank accounts, and even used for identity proofing people at customs in airports. However it is this link between facial recognition technology and identity that is starting to raise concerns on the use of the technology in relation to security, bias and user privacy .

With the widespread use of location technology by apps, we are becoming increasingly accustomed to the benefits of location-based services, including real-time navigation, ride hailing, and food-delivery. Google Maps, Uber and GrubHub are just some of the go-to apps that are making our lives easier and more convenient. But collecting, storing and working with location data raises important considerations regarding user privacy that need to be addressed.