Marketplace for AI Models

TL;DR

This paper proposes a decentralized online marketplace for AI models to address limitations of current diffusion methods, focusing on technical, economic, and regulatory aspects, and compares existing marketplaces.

Contribution

It introduces guidelines for a new decentralized AI marketplace and analyzes current platforms to highlight their centralized nature and limited model diversity.

Findings

Most existing AI marketplaces are centralized and have few models.

Decentralized marketplaces can improve model traceability and monetization.

Current marketplaces lack diversity and scalability.

Abstract

Artificial intelligence shows promise for solving many practical societal problems in areas such as healthcare and transportation. However, the current mechanisms for AI model diffusion such as Github code repositories, academic project webpages, and commercial AI marketplaces have some limitations; for example, a lack of monetization methods, model traceability, and model auditabilty. In this work, we sketch guidelines for a new AI diffusion method based on a decentralized online marketplace. We consider the technical, economic, and regulatory aspects of such a marketplace including a discussion of solutions for problems in these areas. Finally, we include a comparative analysis of several current AI marketplaces that are already available or in development. We find that most of these marketplaces are centralized commercial marketplaces with relatively few models.