2018/02/27 by A. Besir Kurtulmus, Kurtulmus, A. Besir, Kenny Daniel +1 · 1 voice · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Blockchain Technology Applications and Security #Explainable Artificial Intelligence (XAI) #cs.CR
paper · pdf · doi:10.48550/arxiv.1802.10185
arxiv created 2018/02/27 · openalex publication_date 2018/02/27 · arxiv updated 2018/03/01 · openalex created_date 2018/03/06 · openalex updated_date 2026/07/28
Using blockchain technology, it is possible to create contracts that offer a reward in exchange for a trained machine learning model for a particular data set. This would allow users to train machine learning models for a reward in a trustless manner. The smart contract will use the blockchain to automatically validate the solution, so there would be no debate about whether the solution was correct or not. Users who submit the solutions won't have counterparty risk that they won't get paid for their work. Contracts can be created easily by anyone with a dataset, even programmatically by software agents. This creates a market where parties who are good at solving machine learning problems can directly monetize their skillset, and where any organization or software agent that has a problem to solve with AI can solicit solutions from all over the world. This will incentivize the creation of better machine learning models, and make AI more accessible to companies and software agents.