This research seeks to grasp the effect that trust in algorithm word has on the decisions made by hiring managers when it comes to selecting candidates. Specifically, this research will focus on whether trust in algorithms affects how much emphasis hiring managers put on important traits such as Experience, Education, and Qualifications. Ultimately, the goal of this research is to assess whether algorithm formulas or traditional assessment methods are currently producing better hires for organizations. Understanding the impact of trust in algorithms will help determine which method is best for employers to use moving forward. Also, how managers cope with bias and what role they play during the hiring selection. The data collected from the experiment will help identify and analyze Artificial Intelligence's impact on hiring managers' decisions. The study will also use the data from the experiment to test the hypothesis. Ultimately, this will help us to determine if Artificial Intelligence can reduce bias in the recruitment process and provide employers with more accurate insights into applicants' abilities. This study is expected to lead to more efficient and effective use of Artificial Intelligence in recruitment while helping employers make more informed decisions. We hope this research will pave the way for a more equitable hiring process by reducing bias and providing an objective evaluation of applicants' abilities. By having such a variety of diversity in Industries, Race and Gender, this research is a piece of real world that every employer can replicate for their hiring or training employees. We look forward to seeing how AI can improve the recruitment process. By accurately assessing applicants and considering their abilities, employers can make informed decisions that benefit both applicants and employers. / Business Administration/Human Resource Management

This study focuses on Alexandria Ocasio-Cortez, the U.S. Representative for New York's 14th Congressional District, and how news media portray her based on her gender, age, and ethnicity, which still play essential roles in the political system in the United States. The analysis of previous academic research, newspaper articles from the New York Times and the Washington Post (June 1, 2018 to June 30, 2019) and framing and feminist theories are used to evaluate coverage of Alexandria Ocasio-Cortez. The newspaper stories are examined based on the framing of traits including being the youngest woman ever elected to Congress, being Latina, and being one the most progressive politicians in the Congress. The main objective of this study is to shed light on a topic that at this moment in time is more relevant than ever because the 116th Congress has the highest number of women and women of color in U.S. history. I examine media coverage that Rep. Alexandria Ocasio-Cortez receives for stereotypical frames, so that, overall, all women running or holding public office may receive unbiased and more balanced media coverage. This study also intends to hold media outlets accountable for the way they portray different candidates because it has a significant influence on the voting population.