' Saika Suzuki | MTTLR

Privacy Concerns for Digital COVID-19 Contact Tracing and Implications for Incorporation of Artificial Intelligence

Contact tracing has been a key measure in an attempt to slow the spread of COVID-19. Many countries, including the United States, have used contact tracing to track and control the spread of the disease. The measure has been touted as a success in the states and countries that managed to implement a well-functioning system with adequate preparation, testing and tracking, welfare support, and effective leadership. However not all contact tracing efforts were successful. The United Kingdom’s contact tracing efforts have been noted to be a failure,  with the country’s government scientific advisory group reporting that the program had a “marginal impact on transmission.” The United States has similarly experienced failures in several states. Some of the reasons that programs fail include lack of local support, sheer number of cases, and delays in testing and identification. Even strong advocates for robust contact tracing programs have conceded that “it is impossible to do meaningful or substantial contact tracing with huge numbers of cases.” Shortage in personnel performing contact tracing also likely contributes to the difficulty. One key tool that could have mitigated some of the problems with contact tracing is the use of digital contact tracing. In fact, several countries, notably South Korea and Singapore, have successfully implemented digital contact tracing programs. Apple and Google partnered to create a COVID-19 contact tracing technology which utilizes Bluetooth technology. Claims have been made that implementing AI mechanisms in such technology would further increase the effectiveness of Bluetooth contact tracing by boosting the ability of the phones to detect nearby phones, which remains shaky with just the use of Bluetooth technology. Pairing Bluetooth...