Jammable AI music generator
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Jammable AI (formerly known as Voicify AI) is an AI-powered platform that allows users to create AI-generated song covers using a variety of voices, cartoon characters or custom AI voices.
The platform offers a large library of pre-trained voice models across different categories, including music, cartoons, anime, and gaming. Users can also upload voice samples to create their own custom AI voices, which can be shared with the Jammable community or kept private.
Jammable is browser-based, making it accessible on various devices including PC, macOS, and mobile.
System ๐ค
Documents ๐
Operator: Voiceify AI
Developer: Voiceify AI
Country: UK; USA
Sector: Media/entertainment/sports/arts;
Purpose: Create music
Technology: Generative AI; Text-to-speech; Machine learning
Issue: Cheating/plagiarism; Copyright; Ethics/values
Transparency: Governance
Risks and harms ๐
Jammable AI music generator has been accused of violating copyright and undermining the livelihoods of music creators by generating unlicensed and misleading content. The use of Jammable to replicate artists' voices without permission is seen to raise ethical questions about consent and the rights of creators.
Transparency and accountability ๐
Jammable has been accused of multiple transparency and accountability limitations:
Dataset origins. The sources and nature of the training data used to create Jammable have not been disclosed.
Public access. Jammable is not available for public use or testing, limiting independent verification of its capabilities and limitations.
Decision-making processes. Jammable lacks clarity in explaining the logic and processes behind its AI-generated music, making it difficult for users and stakeholders to understand how decisions are made and how data is processed.
Complaints and appeals. The company has limited mechanisms for holding its AI system accountable for its actions, which is essential for correcting errors and preventing future issues.
Risk management. Jammable fails to address the broader societal impacts, including ethical concerns and potential biases, which are crucial for fostering trust and accountability in AI systems.
Incidents and issues ๐ฅ
Legal, regulatory ๐ฉ๐ผโโ๏ธ
British Phonographic Industry legal complaint
Research, advocacy ๐งฎ
News, commentary, analysis ๐๏ธ
Page info
Type: System
Published: August 2024