Summary

In this chapter, we reviewed the current standards landscape. You saw how different countries, professional bodies, and organizations implement best practices, governance, regulations, and policies around automated decision management systems. We provided an overview of national policies and regulations, attempts from professional bodies to establish industry standards, the contemporary landscape of technology toolkits, and auditing checklist metrics.

In many ways, the sheer number of different standards, regulatory frameworks, and guides for best practice is daunting. This is perhaps particularly true for those enterprise leaders who are non-technical regarding data science and ML, but who are seeking to lead their businesses to achieve the benefits that AI-driven service improvement can facilitate. This is one of the main reasons we wrote this book! We seek to demystify these assurance processes. At the core of all the frameworks and starter kits outlined previously is...