The concept of technological objectivity refers to the idea that technology is neutral and objective, and therefore more reliable than human intuition. This idea is based on the assumption that technology operates without bias, emotion, or subjectivity, and is therefore better able to make accurate and unbiased decisions than humans.

However, this assumption is flawed. In many cases, the technological objectivity we defer to is actually worse than human intuition. This is because technology is not neutral or objective in the way that we often assume it to be.

One of the main problems with technological objectivity is that it is based on the idea that technology is free from human bias. However, the reality is that technology is designed and programmed by humans, and is therefore subject to the same biases and prejudices as humans. For example, facial recognition software has been shown to be less accurate in recognizing people of color, because it was trained on a data set that was biased towards white faces.

Another problem with technological objectivity is that it often fails to take into account the context and nuance of a situation. Technology operates on a set of rules and algorithms, which may not be able to account for the complexities and subtleties of human behavior. This can lead to incorrect or inappropriate decisions being made. For example, an algorithm used by a bank to determine credit scores may unfairly penalize people who live in certain neighborhoods or who have certain types of jobs.

In addition, technological objectivity can sometimes lead to a lack of accountability. When a decision is made by a human, it is possible to hold that person accountable for their actions. However, when a decision is made by a machine, it can be difficult to determine who is responsible for any negative outcomes that may result.

In contrast, human intuition is often better able to take into account the context and nuances of a situation. Humans are able to use their judgment, experience, and empathy to make decisions that are appropriate for a particular situation. While human intuition is certainly not perfect, it is often better than the technological objectivity that we defer to.

In conclusion, the idea of technological objectivity as a superior alternative to human intuition is flawed. Technology is not neutral or objective in the way that we often assume it to be, and can be subject to the same biases and prejudices as humans. Furthermore, technology may not be able to take into account the context and nuances of a situation, which can lead to incorrect or inappropriate decisions being made. While human intuition is certainly not perfect, it is often better than the technological objectivity that we defer to.