Managing the Human Risks of Biometric Applications
Technologies that collect data about individuals’ physical characteristics, mental states, and behaviors may be seen as especially intrusive forms of biometric tools. Additionally, some applications, such as facial scanning, have high error rates that can lead to discrimination and misidentification. Companies seeking to collect and track biometric data must prioritize user privacy and dignity or risk blowback from regulators, customers, and other stakeholders.