Detecting AI-generated content is a challenging task.
Identifying human ingenuity, cross-referencing content, and verifying messages are solutions to identifying deepfake content.
Many organizations have also implemented policies to further aid users in identifying AI-related content.
Individuals must provide high-fidelity, accurate, and sanitized data when feeding data into models.
Actively reviewing and monitoring training data samples can aid in detecting bad data before it becomes an issue.