Chapter 4. Governance
In many ways, governance is the backbone of MLOps. It is the set of controls placed on a business to ensure that it delivers on its responsibilities to all stakeholders, from shareholders and employees to the public and national governments. These responsibilities include financial, legal, and ethical obligations. Underpinning all three of these responsibilities is the fundamental principle of fairness. All of these components are critical parts of a robust MLOps system.
This chapter will explore the many components of a modern AI governance strategy and how it’s inherently intertwined with MLOps efforts. It will close out with a template for governance in the context of MLOps, which may be particularly useful for business leaders looking to spearhead governance strategies in their own organizations.
Why Governance Matters to the Business
What most businesses want from governance is to safeguard shareholder investment and to help ensure a suitable return on investment (ROI), both now and in the future. That means the business has to perform effectively, profitably, and sustainably. The shareholders need clear visibility that customers, employees, and regulatory bodies are happy, and they want reassurances that appropriate measures are in place to detect and manage any difficulties that could occur in the future.
If businesses and governments want to reap the benefits of ML, then they have to safeguard the public trust in it as well as proactively address ...
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