An Investigation of Algorithmic Bias in AI-Based University Admissions Systems: A Case Study of Federal Polytechnic, Bauchi (Bauchi LGA, Bauchi State)
- Project Research
- 1-5 Chapters
- Abstract : Available
- Table of Content: Available
- Reference Style:
- Recommended for :
- NGN 5000
Background of the Study
Artificial intelligence (AI) is increasingly being used in university admissions to automate the process of selecting applicants based on predefined criteria. AI-based systems are designed to streamline admissions, increase efficiency, and reduce human bias. However, there is growing concern about the presence of algorithmic bias in these systems, which could lead to unfair outcomes. Algorithmic bias refers to the systematic favoritism or discrimination built into AI models, often due to biased data or flawed algorithms. This issue can perpetuate inequalities in admissions, affecting underrepresented groups and disadvantaging certain applicants.
Federal Polytechnic, Bauchi, located in Bauchi LGA, Bauchi State, has implemented an AI-based admissions system, but concerns about the fairness and impartiality of the selection process remain. This study aims to investigate the potential for algorithmic bias in the university's AI-based admissions system, analyzing whether certain groups of applicants are unfairly favored or disadvantaged. By addressing this issue, the study seeks to provide recommendations for improving the fairness and transparency of AI-driven admissions processes.
Statement of the Problem
The use of AI in admissions at Federal Polytechnic, Bauchi, has raised concerns about algorithmic bias in the selection process. There is limited research on whether the AI-based system used at the institution is inadvertently favoring certain demographic groups over others, potentially leading to discriminatory practices. This study seeks to investigate the presence of algorithmic bias in the admissions system and its implications for fairness and equity in university admissions.
Objectives of the Study
1. To identify and analyze potential algorithmic biases in the AI-based admissions system at Federal Polytechnic, Bauchi.
2. To assess the impact of algorithmic bias on the fairness and transparency of the admissions process.
3. To propose strategies for mitigating algorithmic bias in the AI-based admissions system.
Research Questions
1. Does the AI-based admissions system at Federal Polytechnic, Bauchi exhibit any form of algorithmic bias?
2. How does algorithmic bias, if present, impact the fairness of the admissions process?
3. What measures can be taken to reduce or eliminate algorithmic bias in the university's AI-based admissions system?
Research Hypotheses
1. The AI-based admissions system at Federal Polytechnic, Bauchi exhibits algorithmic bias, favoring certain demographic groups over others.
2. Algorithmic bias in the admissions system negatively affects the fairness and transparency of the selection process.
3. Implementing fairness-enhancing strategies will reduce algorithmic bias and improve the impartiality of the AI-based admissions system.
Significance of the Study
This study will contribute to the understanding of algorithmic bias in AI-based systems used for university admissions. The findings will help Federal Polytechnic, Bauchi, identify and address potential biases in its admissions process, promoting fairness and equity. The research will also provide insights into best practices for designing unbiased AI systems in educational settings, which could be applied to other institutions across Nigeria and beyond.
Scope and Limitations of the Study
This study will focus on investigating algorithmic bias in the AI-based admissions system at Federal Polytechnic, Bauchi, located in Bauchi LGA, Bauchi State. The research will analyze the system's fairness but will not examine other AI-based systems used in different areas of university administration. The study will be limited to identifying biases in the admissions algorithm and will not involve redesigning the system.
Definitions of Terms
• Algorithmic Bias: The presence of systematic errors or discrimination in an algorithm that leads to unfair or unequal outcomes.
• AI-Based Admissions System: A system that uses artificial intelligence to automate the university admissions process by selecting candidates based on predefined criteria.
• Fairness: The principle of treating all applicants equally, without discrimination or favoritism, based on factors such as gender, ethnicity, or socioeconomic status.
• Transparency: The extent to which the decision-making process of an algorithm can be understood and audited.
Related Project Materials
THE IMPACT OF COMPENSATION AND REWARD SYSTEM ON ORGANIZATIONAL PERFORMANCE IN TOTAL NIGERIA PLC KADUNA
ABSTRACT
This research work emphasizes on the impact of reward and compensation system on the produ...
A Study of Talent Management Strategies and Their Impact on Workforce Performance in First Bank Nigeria Plc, Borno State
Background of the Study
Talent management is a strategic human resource approach aimed at attracting, developing, retaining, and utilizin...
An Investigation of AI-Based Smart Tutor Chatbots for Secondary Schools in Gusau LGA, Zamfara State
Background of the Study
The integration of AI into education has opened new possibilities for personalized learning experiences. Smart tu...
The Role of Broadcasting in Promoting National Peace: A Descriptive Study of Gombe North Local Government Area, Gombe State
Chapter One: Introduction
1.1 Background of the Study
Broadcasting has long been recognized as a powerful tool for promoting na...
THE INFLUENCE OF YOUTH UNEMPLOYMENT ON NIGERIAN SOCIETY
BACKGROUND OF THE STUDY
It is impossible to place too much emphasis on the problem of young unemploymen...
An appraisal of geopolitical factors influencing sanitation practices in Auyo Local Government Area, Jigawa State
Background of the Study
Sanitation practices in Auyo Local Government Area (LGA), Jigawa State, are heavily influenced by geopolitical facto...
The effect of broken homes on the emotional and academic well-being of students in Ibadan North-East Local Government Area, Oyo State
Background of the Study
Family structure plays a crucial role in shaping a child's emotional and academic development. In Ibadan Nort...
An Evaluation of the Role of Election Petition Tribunals in Electoral Justice: The Case of Sokoto South Local Government, Sokoto State
Chapter One: Introduction
1.1 Background of the Study
Election petition tribunals play a crucial...
CAUSES AND EFFECTS OF MASS FAILURE IN SENIOR SCHOOL CERTIFICATE EXAMINATIONS (SSCE) IN MATHEMATICS AMONG SECONDARY SCHOOL STUDENTS IN ALIERO LOCAL GOVERNMENT, KEBBI STATE
1.1 Background of the Study
The importance of Mathematics in modern society cannot b...
INFLUENCE OF NIGERIAN HOME VIDEO FILMS ON CRIMINALITY
ABSTRACT
This study was carried out to examine the influence of Nigerian home video films on criminalit...
