**Summary** For organizations to truly benefit from their investments in AI, building customer trust is essential. The prevalent social mistrust surrounding AI can only be addressed when stakeholders—such as customers and regulators—receive clear answers regarding the technology's functioning. Implementing blockchain-based accountability offers a practical approach to ensuring accountability and enforceability. FICO has developed a private blockchain that automates the documentation and standards involved in model development. This method has accelerated their time to market for AI and analytical innovations and has also contributed to maintaining new models in production; notably, blockchain has decreased support issues and model recalls by over 90%.

The primary challenge in making this system effective was less about technology and more about people. The organization discovered that establishing standards first was crucial, followed by developing the technology; making the system user-friendly was essential; focusing on quick wins was important; creating repositories for storing large AI assets was necessary; and having competent IT teams was vital for maintaining the system. In a brief span, various industries have adopted artificial intelligence (AI) to make decisions impacting individuals' everyday lives. Since AI can be viewed as “a mirror that reflects our biases and moral flaws back to us, ” this implementation can sometimes lead to unfortunate and even tragic outcomes. Bias is merely one of numerous factors contributing to AI's perception as a “black box” associated with trust issues. A Pew Research study conducted last year revealed that 52% of Americans feel more concerned than excited about AI in their daily lives, while only 10% express more excitement than concern.