NIM answered CISAC on AI

New Internet Media (NIM ) white-label solutions

New Internet Media (NIM ) white-label solutions offer a comprehensive and innovative approach to address the challenges highlighted in CISAC ‘s 2024 annual report, particularly in AI, metadata, and fair compensation for creators in the digital era.

AI and protecting creators’ rights

As AI becomes increasingly prevalent in the music industry, CISAC emphasizes ensuring that human creators are protected and fairly compensated.

NIM’s white-label services can help tackle this challenge by:

a. Providing a technology platform that securely registers and tracks the usage of creators’ works by AI systems, creating a transparent and auditable trail of the works used to train AI models.

b. Implementing tech-based contracts that automate the licensing process and ensure that creators are fairly remunerated when their works are used by AI.

c. A “power of content” (POC) staking mechanism allows creators to stake their copyrights and metadata via NIM’s tech platform, validating ownership and earning rewards for their contributions.

Metadata and rights management

Accurate and comprehensive metadata is crucial for efficient rights management and fair royalty distribution.

NIM’s white-label solutions address this by:

a. Integrating NIM’s MusicDNA from audio analysis and text processing to create rich, structured metadata for musical works.

b. Providing a decentralized and white-labeled marketplace (e.g., as defined in the Fair Music project) where creators can license their metadata to various entities (AI companies, streaming platforms, etc.) while maintaining control over terms and pricing.

c. Creating immutable records of metadata ownership and licensing transactions via NIM tech platforms, ensuring transparency and reducing disputes.

Royalty distribution for ai-generated content

As AI generates new content using existing works, ensuring that the original creators are fairly compensated is essential.

NIM’s services tackle this challenge through:

a. Implement mechanisms to track metadata usage and provenance in AI-generated content, identifying the original works that influenced the new creations.

b. Utilizing tech-based contracts to automate the calculation and distribution of royalties based on the contribution of each original work’s metadata to the AI-generated content.

c. Provide detailed reporting and analytics to creators, allowing them to monitor the usage of their works and the royalties earned.

Interoperability and integration

CISAC stresses the importance of interoperability and integration with existing systems in the music industry.

NIM’s white-label solutions address this by

a. Adhering to industry standards for metadata and ensuring seamless integration with music platforms, databases, and applications.

b. Forging partnerships with key stakeholders (CMO/PROs, Music labels, Music publishers) to onboard a wide range of catalogs and metadata offered through white-labeled services.

c. Offering user-friendly interfaces and APIs that facilitate easy adoption and integration with existing workflows under a white-labeled (i.e., under the partner’s brand) offering.

Governance and dispute resolution

CISAC highlights the need for robust governance and dispute resolution mechanisms.

NIM’s services address this through

a. Implementing a decentralized governance model that empowers creators and stakeholders to participate in decision-making.

b. Utilizing NIM’s tech platform with legal, immutable records and tech-based contract-based arbitration to resolve disputes efficiently and transparently.

c. Establishing clear protocols for verifying metadata ownership and preventing unauthorized usage.

By leveraging a technology platform and a creator-centric approach, NIM’s white-label solutions offer a powerful toolset to tackle the challenges outlined in CISAC ‘s report. These services enable more transparent, efficient, and fair management of rights and royalties in the digital era. This ensures that creators are appropriately recognized and rewarded for their contributions, even as AI transforms the music landscape.