Evaluating the Impacts of Artificial Intelligence on Race and Equality in Public Administration

1. Introduction 1.1 Problem Statement 1.2 Objectives of the Study 1.3 Research Questions 2. Literature Review 2.1 AI in Public Administration 2.2 Historical Perspectives on Race and Equality 2.3 Current Debates on AI and Bias 3. Theoretical Framework 3.1 Critical Race Theory 3.2 Technological Determinism 3.3 Ethics in AI Applications 4. Methodology 4.1 Research Design 4.2 Data Collection Techniques 4.3 Data Analysis Methods 5. AI Impacts on Hiring Practices 5.1 Algorithms in Recruitment 5.2 Bias and Discrimination Risks 5.3 Case Studies 6. AI and Policy Formulation 6.1 Decision-Making Processes 6.2 Equality in Policy Outcomes 6.3 Public Perception Analysis 7. Challenges and Opportunities 7.1 Mitigating Algorithmic Bias 7.2 Promoting Diversity through AI 7.3 Regulatory and Legal Frameworks 8. Conclusion and Recommendations 8.1 Summary of Findings 8.2 Implications for Public Administration 8.3 Future Research Directions