The Moderation effect of AI Image Generator on the Relationship Between Evidences and Accurate Judgment

Abstract

This study examines AI picture generator's moderating influence on the correlation between evidence and sound judgment can be complicated and contingent on a number of variables. There are potential impacts that might have a negative impact on the accuracy of evidences. Risk of Bias or Misrepresentation, Subjectivity and Interpretation, Cognitive Overload or Dependency and User Proficiency with AI Tools are examined to test their effect on providing fake images generated by AI Image Generator tools. The study reveals that AI Image Generator has a strong impact on the relationship between evidences and accurate judgments. AI Image generators can enhance proving bias evidences which cannot be predicted from judgers and this might lead to unfair decisions. This paper investigates this moderation effect through an empirical study and a distributed survey. Manipulating the presence or absence of an AI image generator and examining how it interacts with different types of evidence to affect judgment accuracy are the main objectives. Understanding this moderation effect is essential for evaluating the impact of AI technologies on decision-making processes. It can also have implications for the ethical use of AI in various fields, including law, healthcare, and journalism, where accurate judgment based on evidence is crucial.