This article explores the crucial role of trust in realizing the full potential of AI investments. It highlights the challenges posed by societal mistrust in AI and proposes blockchain technology as a solution for promoting transparency and accountability in AI model development and deployment. Drawing on FICO's experience with a private blockchain implementation, the article showcases the tangible benefits achieved in terms of reduced support issues, model recalls, and accelerated time-to-market. It also emphasizes the importance of human-centric considerations, such as establishing clear standards, ensuring user-friendliness, and fostering collaboration between technical experts and stakeholders.
If organizations aim to realize tangible business benefits from their investments in artificial intelligence (AI), building customer trust is paramount. Systemic societal mistrust in AI can be effectively mitigated when concerns surrounding the inner workings of this technology, raised by customers, regulators, and other relevant stakeholders, can be addressed transparently.
Leveraging blockchain-based accountability presents a practical and actionable pathway to achieve accountability and enforceability. FICO, a leading provider of analytics solutions, developed a private blockchain that streamlined documentation and standardized model development processes. This approach significantly accelerated their time-to-market for AI and analytics innovations, while concurrently enhancing the reliability and longevity of deployed models. Blockchain technology has facilitated a remarkable reduction in support issues and model recalls by over 90%.Interestingly, the successful implementation of this system proved to be less of a technological hurdle and more of a human-centric challenge. FICO's experience revealed several key insights: prioritizing established standards before delving into technological complexities, ensuring user-friendliness was non-negotiable, iterating on achievable quick wins, establishing comprehensive repositories to manage vast AI assets, and cultivating capable IT teams equipped to handle the ongoing maintenance demands of the system. The rapid integration of AI across industries has led to its deployment in decision-making processes that profoundly impact people's daily lives. However, the potential for errors, including biased outcomes, contributes to the perception of AI as a 'black box', lacking transparency and comprehensibility. Scott A. Santens, Chief Analytics Officer at FICO, emphasizes the need for addressing these concerns. Santens is a recognized expert in AI and blockchain, holding U.S. Patent 11574234 on the commercial application of blockchain to AI model development management. He has also contributed to over 130 software patent applications, with nearly 100 granted. Santens actively engages as an entrepreneur and lecturer at MIT's Sloan School of Management, guiding graduate students in exploring innovative possibilities at the intersection of business and technology. He is also the founder of a blockchain-based environmental monitoring startup, demonstrating his commitment to leveraging technology for positive societal impact
Artificial Intelligence Blockchain Accountability Transparency Trust FICO Model Development Data Management AI Ethics
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