<p>1. Introduction<br> 1.1 Background and Significance<br> 1.2 Research Objectives<br> 1.3 Research Questions<br> 1.4 Methodology Overview<br><br>2. Literature Review<br> 2.1 Definition and Types of Artificial Intelligence in Accounting<br> 2.2 Theoretical Framework: Linking AI and Streamlining Accounting Processes<br> 2.3 Benefits and Challenges of AI in Accounting<br> 2.4 Previous Studies on the Role of AI in Accounting<br><br>3. Research Methodology<br> 3.1 Research Design<br> 3.2 Data Collection Methods<br> 3.3 Sample Selection<br> 3.4 Quantitative Analysis: Performance Metrics of AI-enabled Accounting Systems<br> 3.5 Qualitative Analysis: Interviews with Accounting Professionals and Experts<br> 3.6 Data Analysis Techniques<br><br>4. Findings and Analysis<br> 4.1 Quantitative Analysis Results: Performance Comparison of AI-enabled Systems<br> 4.2 Qualitative Analysis Results: Experiences and Perceptions of Accounting Professionals<br> 4.3 Integration of Quantitative and Qualitative Findings<br> 4.4 Discussion of Findings<br><br>5. Ethical Implications and Concerns<br> 5.1 Data Privacy and Security in AI-driven Accounting Systems<br> 5.2 Bias and Fairness in AI Algorithms<br> 5.3 Human Oversight and Judgment in AI-enabled Processes<br> 5.4 Discussion of Ethical Implications and Concerns<br></p>
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