1 INTRODUCTION  
2 THE INCREASING PREVALENCE OF AI-GENERATED TEXT AND DETECTION CHALLENGES  
3 GENERATED TEXT DETECTION TECHNIQUES: TRANSFORMER ARCHITECTURE AND DECODING STRATEGIES  
4 POTENTIAL APPLICATIONS AND FUTURE DIRECTIONS  
5 ETHICAL ISSUES WITH AI TEXT DETECTION LIMITATIONS: MISINFORMATION AND MALICIOUS CONTENT  
6 TIMELINE OF RESEARCH AND TRENDS  
7 DISCIPLINES AND COLLABORATION  
8 CONCLUSIONS