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How to Prevent Inappropriate Lyrics in Suno AI Songs

Problem:

When experimenting with converting classic hymns into rap music using Suno AI, users have reported unexpected and inappropriate insertions of the N-word. This issue seems to be particularly pronounced with Christian-themed songs. Such occurrences can disrupt the artistic intention and are offensive regardless of context.

For example, while transforming a hymn into a rap, one might expect lyrics that respect the original’s dignity, but instead, the AI unexpectedly includes offensive language, altering the intended vibe of the song.

Solution: Introduce content moderation features in Suno AI. This can involve setting explicit and implicit content filters that users can customize according to their preferences for clean or explicit lyrics.

Examples:

  1. Implement a user-controlled filter setting where creators specify banned words:

    [Settings] -> [Content Preferences] -> [Banned Words]: Add "N-word"

    This would prevent the AI from including specific offensive terms in the lyrics.

  2. Utilize a toggle for explicit content:

    [Settings] -> [General] -> [Allow Explicit Content]: Off

    Turning off explicit content could help maintain the integrity of certain genres like hymns.

  3. Encourage the use of specific prompts that guide the AI away from potentially offensive content:

    [Lyric Generator] -> [Prompt]: "Generate family-friendly rap lyrics for a hymn"

    Clear instructions can steer the AI towards generating appropriate content.

Additional Tips:

  • Repeated trials might be necessary as the AI learns from continuous feedback and adjustments to settings.
  • Combining multiple moderation techniques (like explicit content toggles and banned words lists) could enhance effectiveness.

Maintaining the artistic quality of AI-generated music without compromising on respect and sensitivity to all audiences is crucial. By implementing robust content moderation features, creators can better align the output with their artistic visions and audience expectations.