Facial recognition technology uses software to map a person’s facial characteristics and then store the data as a face template. Algorithms or machine learning techniques are applied to a database to compare facial images or to find patterns in facial features for verification or authentication purposes. The benefits of facial recognition to diagnose medical disorders, monitoring patients, and providing health indicator information has been shown to be incredibly useful and accurate. Machine learning techniques, in which a computer program is trained on a large data set to recognize patterns and generates its own algorithms on the basis of learning, have been used to assist in diagnosing patients suffering from disorders or other medical conditions that had not been identified after years of clinical effort.
As a new graduate student working in a university data science lab, you discover that much of the data set or database information comes from political prisoners who were incarcerated in an undemocratic country and gathered without consent.
What are the possible ethical issues related to the use of this data?
How would you apply each of the ethical theories covered in assessing the continued use of this data?