Evaluating AI Effectiveness in Candidate Screening and Selection: Criteria and Applications

1. Introduction 1.1 Definition of AI in Recruitment 1.2 Importance of Effective Screening 1.3 Objectives of the Study 2. Literature Review 2.1 Historical Perspective on AI 2.2 Current Trends in AI Screening 2.3 Previous Studies on AI Effectiveness 3. AI Technologies in Recruitment 3.1 Machine Learning Algorithms 3.2 Natural Language Processing 3.3 Predictive Analytics Tools 4. Criteria for AI Effectiveness 4.1 Accuracy in Candidate Selection 4.2 Speed and Efficiency 4.3 Bias and Fairness Considerations 5. Applications of AI in Screening 5.1 Resume Parsing and Analysis 5.2 Behavioral and Skill Assessments 5.3 Video Interview Analysis 6. Case Studies 6.1 Successful Implementations 6.2 Challenges and Limitations 6.3 Comparisons Between Industries 7. Evaluation Metrics 7.1 Key Performance Indicators 7.2 Measuring Candidate Success 7.3 Feedback Mechanisms 8. Conclusion and Recommendations 8.1 Summary of Findings 8.2 Recommendations for Practice 8.3 Future Research Directions