Blockchain service provider Casper Labs has revealed its intention to merge artificial intelligence (AI) systems with Web3 technologies to enhance transparency and consumer safety within the crypto industry.
Casper Labs will be teaming up with technology giant IBM to harness the potential of these emerging technologies and explore new use cases. One of the key objectives of this collaboration is to develop a solution for regulating AI training governance across multiple organizations.
The alliance aims to establish a policy enforcement layer that ensures organizations deploying generative AI models adhere to the original model’s design. To achieve this, Casper Labs will leverage IBM’s watsonx.governance and publicly distributed ledger.
The implementation of generative AI models often involves modifications to large language models (LLMs) in ways that may deviate from the original training. This can lead to intellectual property (IP) concerns, as creators may be unaware of the changes made by firms deploying their models.
Casper Labs’ blockchain-based solution will enable organizations to share information about the modifications made to AI systems on its ledger, mitigating the risk of IP infringement. Moreover, it will provide creators with the opportunity to address any issues that may arise during deployment.
Mrinal Manohar, CEO of Casper Labs, emphasized the commitment to delivering a more comprehensive understanding of AI system behavior and a clear path to remediate any issues with the assistance of IBM.
The proposed solution will incorporate a compliance dashboard, version control for rollbacks, a quality control toolkit, and an audit and reporting system. Casper Labs aims to apply this solution across various sectors, including financial services, retail, healthcare, and manufacturing, where generative AI is becoming increasingly prevalent.
The integration of AI and blockchain has gained traction as a means of addressing copyright and data handling issues within the industry. The tamper-proof and transparent nature of blockchain is seen as a potential solution to enhance AI platform data handling and safety.
Additionally, the integration presents opportunities for new use cases, such as using blockchain to monitor content usage by AI firms and prevent copyright infringement.
Giovanni Franzese, former head of blockchain at Ericsson, highlighted the data security benefits offered by blockchain, which are currently lacking in AI. He emphasized the importance of achieving traceability and immutability of data, which blockchain uniquely provides.
Simit Naik, Director of Commercial and Strategy at nChain, underscored the significance of blockchain’s ability to validate the authenticity of data, particularly for AI developers reliant on data to train their models.
As the crypto industry continues to evolve, the integration of AI and blockchain is poised to play a pivotal role in ensuring compliance, data security, and the responsible use of AI technologies.
