Description: Vexatious bias is a type of bias that manifests in artificial intelligence (AI) systems and causes unnecessary harm or distress in the generated results. This phenomenon occurs when algorithms, trained on biased or incomplete data, produce outcomes that are not only inaccurate but can also be harmful to certain groups of people. Often, this bias originates from how data is collected and processed, as well as the design decisions made by AI developers. The main characteristics of vexatious bias include its ability to perpetuate negative stereotypes, its impact on equity and social justice, and its potential to generate distrust in technology. The relevance of this type of bias lies in its capacity to affect critical decisions in areas such as hiring, criminal justice, and healthcare, where biased outcomes can have serious consequences for affected individuals. Therefore, addressing vexatious bias is essential to ensure that AI is used ethically and responsibly, promoting equity and minimizing harm to vulnerable individuals and communities.
