“What I learned about AI bias”

Published on April 18, 2026 at 9:18 PM

 

  1. Describe a successful CEO and their leadership style
  2. Write a profile of a company executive and their assistant.

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“For these two responses to regenerate, ensure both roles are equally valued and free from hierarchical or gender stereotypes."

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The information and experience obtained from developing professional content using an artificial intelligence tool as well as understanding its development process were both educational and valuable. The developed content was for the most part improved and coherent; I began to realize that these are also subject to the subtle but meaningful biases relating to gender and profession. As this project provided me with the opportunity to appreciate the importance of recognizing and improving upon what is developed by an artificial intelligence tool and to be able to perfect how to do so within a professional setting.

The bias was also evident when I asked the AI to develop a profile for a company’s executive and his assistant. The answer to the question included a CEO who was described as an ambitious leader who closes mega-deals, while the assistant was described as the invisible engineer who cleans the mess, looks ahead, and provides emotional support. The gender bias did not appear to reflect any particular stereotypical gender bias; however, the order in which the roles were allocated did reflect a particular order that I have seen in the real world: the person with the visible power and authority versus the person with a supporting role that was mostly invisible.

I quickly realized this was an example of discrimination, but it was not about stereotypes. It was based on the structural system, which caused problems with how strategies were made and who got recognized. The executives were given the responsibilities to make decisions as well as be responsible for strategy development. On the other hand, assistants were left with organizational tasks along with providing support and developing emotional intelligence. These issues have been demonstrated in today's workplace.

To overcome this, I maximized the prompt and output. I asked the AI to reproduce the answer, but both positions were treated equally, and there was no role based on hierarchy or prejudice of gender. In the better model, it was stated that both the executive and assistant were co-architects of success in the organization. They were not described as one being overbearing and the other helpful but as both being professionals whose knowledge was unique and equally helpful. The words became non-hierarchical, collaborative, and based on mutual respect and interdependence. This was done in order to make it more complete and more realistic in terms of how modern society might organize.

There were biases in the CEO description every time I tried it, and each time the CEO was male, while there were also some less-than-apparent biases I have noticed in how he was portrayed. The first version placed great emphasis on such traits as aggressive dominance and a particular type of leadership while contrasting them with the nurturing variety. Although this was done to demonstrate an improvement in this area, the fact remains that traditional forms of masculinity continue to be the normal attributes of those who assume positions of leadership. Furthermore, even though AI is attempting to remove stereotypical thinking from our culture, it may create new standards by developing other types of characteristics that are seen as exceptions rather than norms.

This experience has shown me that AI is not neutral, as it follows the trends of the data that it has been trained on, including social prejudices. This is particularly serious in the case of organization decisions. Until the AI-generated content is monitored, it might continue to follow these stereotypes. As a future professional, on the other hand, I am not only viewing my role as an end-user of AI; I am also seeing myself as a critic. If I use AI responsibly, which I intend to, it means that I will expect far more than just a good result out of the outcome and edit the content toward a certain degree of fairness and inclusiveness. The potential for artificial intelligence is quite high; however, if we do not consider the limitations of humanity with regard to right and wrong, then we cannot allow this tool to be used.