  In recent times, there have been increasing accusations on artificial
intelligence systems and algorithms of computer vision of possessing implicit
biases. Even though these conversations are more prevalent now and systems are
improving by performing extensive testing and broadening their horizon, biases
still do exist. One such class of systems where bias is said to exist is facial
recognition systems, where bias has been observed on the basis of gender,
ethnicity, skin tone and other facial attributes. This is even more disturbing,
given the fact that these systems are used in practically every sector of the
industries today. From as critical as criminal identification to as simple as
getting your attendance registered, these systems have gained a huge market,
especially in recent years. That in itself is a good enough reason for
developers of these systems to ensure that the bias is kept to a bare minimum
or ideally non-existent, to avoid major issues like favoring a particular
gender, race, or class of people or rather making a class of people susceptible
to false accusations due to inability of these systems to correctly recognize
those people.
