How Blockchain Can Add on To AI
Blockchain can add on to AI to create controls for AI models. When managed through a multi-user workflow interface, blockchain creates a tamper evident audit trail for every aspect of managing the AI model, including:
• Traceable identity of all stakeholders using blockchain as a certificate authority
• Permanent record of original intent of AI model
• Record ongoing governance, reviews, and ratings of the AI model
• Providing a single source of truth for all components of the AI model, including training data and algorithms
• Establishing a permanent log of experiments among AI engineers and MLOps
• Providing consumer trust logos so that models can be easily validated against their blockchain history
• To act as a permanent memory bank that travels with an AI model
Integration of Blockchain and AI
AI and blockchain are proving to be quite a powerful combination, improving virtually every industry in which they’re implemented. Blockchain and artificial intelligence are combining to upgrade everything from food supply chain logistics and healthcare record sharing to media royalties and financial security. Blockchain can even be used to create trackable, traceable AI by using the same methods used to protect food and health care logistics. The integration of AI and Blockchain affects many aspects, including Security – AI and blockchain will offer a double shield against cyber-attacks.
AI can effectively mine through a huge dataset and create newer scenarios and discover patterns based on data behavior. Blockchain helps to effectively remove bugs and fraudulent data sets. New classifiers and patterns created by AI can be verified on a decentralized blockchain infrastructure and verify their authenticity. This can be used in any consumer-facing business, such as retail transactions. Data acquired from the customers through blockchain infrastructure can be used to create marketing automation through AI.