Project Implicit is a non-profit organization of researchers dedicated to investigating implicit social cognition, or the “thoughts and feelings outside of conscious awareness and control.” As an exercise, we –Group 7— took the “Gender-Science IAT”available on the organization’s website to see if each of us think if there was “a relative link between liberal arts and females and between science and males.” In summation, our results showed that we had a moderately automatic or automatic association for Male with Science and Female with Liberal Arts.
The algorithm makes decisions through the information that is programmed and provided for the system. With the information given, the computer can make a decision to for further action. Although the action is done by a computer, the system can still be biased as it was programmed by a human. So, if the user is biased towards a certain topic, it would be reflected in the computer.
The algorithm might be exposed to the following: (1) Preexisting bias: where a programmer could have already had the associations of a certain gender with either a science or arts background. (2) Technical bias: where the program might have certain questions “weigh” more than others to reach their conclusion faster. (3) Emergent bias: Where the respondent could read a question wrong by reading too fast and accidentally select an answer choice that does not reflect his/her beliefs.
Women could suffer in many areas such as when trying to be hired for a position. In this case, they might not be given equal opportunities as men. Also, they can suffer when it comes to job pay. In this area, as seen in recent times, a woman could be paid less for doing the exact same job as a male which is definitely not ethical.