CCS Concepts
- Computing methodologies → Machine learning approaches; Neural networks; Natural language generation
- Security and privacy → Human and societal aspects of security and privacy

1. INTRODUCTION
1.1 Risks of Machine Generated Text
1.2 Survey Overview

2. MACHINE GENERATED TEXT
2.1 Definition and Scope
2.2 Natural Language Generation
2.3 Natural Language Generation Approaches

3. THREAT MODELS

4. DETECTION OF MACHINE GENERATED TEXT

5. TRENDS AND OPEN PROBLEMS
5.1 Detection Under Realistic Settings
5.2 Generative Language Model Attribution
5.3 Adversarial Robustness
5.4 Interpretability and Fairness of Detection Methods
5.5 Detection Methods Incorporating Human Agency
5.6 Detection of Abuse Beyond Text Content
5.7 Defining Model Usage and Disclosure Policies

6. CONCLUSION