AI Ethics and Music Technology

AI Ethics and Music Technology

Kits' approach to AI ethics is centered on responsible dataset sourcing, fair artist compensation, and empowering creators by ensuring artists get paid with every use of their voice. Take the guesswork out of whether the AI tools you use support artists with Kits.

Kits' approach to AI ethics is centered on responsible dataset sourcing, fair artist compensation, and empowering creators by ensuring artists get paid with every use of their voice. Take the guesswork out of whether the AI tools you use support artists with Kits.

Beyond the buzzwords

Ethics Done Right, Not Just Right Now

Ethics Done Right, Not Just Right Now

We see a world where creative expression in music is limitless. Our goal is to democratize music production, making sophisticated tools accessible to artists of all levels, allowing them to bring their unique visions to life.

We see a world where creative expression in music is limitless. Our goal is to democratize music production, making sophisticated tools accessible to artists of all levels, allowing them to bring their unique visions to life.

Responsible Dataset Sourcing

Every voice used in our models is ethically licensed and securely sourced by Kits via the artists themselves. No unauthorized scraping of artists' work.

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Fair Artist
Compensation

Fair Artist Compensation

Artists directly benefit from the use of their vocal data in our artist model library through dynamic revenue-sharing models.

Empowering
Creators

Empowering Creators

Our tools give vocalists and producers more control over their sound while opening up new possibilities for revenue streams and creativity.

Fairly Trained AI Models

Kits' voice and instrument models accessible via the model select modal, have been Fairly Trained certified, but using these models with the text to speech functionality is not covered by Fairly Trained. Fairly Trained certification is granted to models that aren't trained on copyrighted work without consent - you can read more about the certification here. Our certification reflects our commitment to training data practices that are fair to creators.

Our models also use data from the following datasets:

Our models also use data from the following datasets:

Our models also use data from the following datasets:

Our models also use data from the following datasets:

Title: CSTR VCTK Corpus: English Multi-speaker Corpus for CSTR Voice Cloning Toolkit
Author: Christophe Veaux and Junichi Yamagishi and Kirsten MacDonald
Year: 2017
Source: Access here

Impact in Action

More Than Just Words

More Than Just Words

See how we're making a difference for artists
See how we're making a difference for artists