Sample Solution

dependent testing to determine accuracy or check for bias before being deployed on everyday citizens. This means that the companies that are making these claims, can easily revise their results, and change them if they are not high enough [9].

And even if these claims are true, an identification rate of 95 percent is not enough for any system to rely on for society. If a facial recognition system makes a decision (e.g. if a person has committed a crime, by matching the face to e.g. images collected from security cameras), the outcome is purely based on the face features of that specific person. When this same task is given to a human being, the human will base his/her decision on other factors as well (e.g. voice, height, body language, confidence), this makes the decision more authentic. Hence, to make the chances of falsely identifying a person as low as possible, the system will still need a human judge.

4. Ethics
The improvement of facial recognition technologies can be a great help for national security. But it raises strong concerns regarding the individual’s privacy. When there are cameras everywhere, individuals will be continually watched. This possible violation of privacy creates fear in people. Another point that raises fear, is that the data of facial recognition can be misused. There is always tension between the need for privacy and what this loss of privacy can bring us (security). Is it acceptable to use facial recognition technologies in all situations? That is what will be discussed in this paragraph.

A reason why facial recognition technologies should be used is because of its contribution to security. There is belief that these technologies can offer solutions, it can for example help by the identification of suspects and thus help prevent crimes. With these systems there is a broader intelligence and security infrastructure [13]. But are the technologies safe enough? There is one big ethical i