Utilizing AI & NLP to Minimize Bias in Survey Design Introduction Biasness is a major issue in statistical assessment, especially during data collection in survey studies. The fact that there is the incorporation of an error presents a different approach in helping ensure that the results are accurate based on various factors that are incorporated within the system. Survey studies focus on understanding a general focus on various factors that present a different approach to understanding a given issue that is prevalent in the general population. Therefore the likelihood of having bias data when carrying out survey studies is very high. As a researcher, it is vital to determine the sources of bias and focus on reducing them to improve the reliability and validity of the findings. Bias occurs during data collection and analysis based on the approaches that are chosen by a researcher. What is the issue with bias in survey design? Every research design is developed with a critical emphasis on ensuring that the research development process is accurate, and the analysis obtains the needed outcomes. However, there…