Building an accurate, fast, and performant model founded upon strong Data Quality standards is no easy task. Taking the model into production with governance workflows and monitoring for sustainability is even more challenging. Finally, ensuring the model is explainable, transparent, and fair based on your organization’s ethics and values is the most difficult aspect of trusted AI.
We have identified three pillars of trust: performance, operations, and ethics. In our previous articles, we covered performance and operations. In this article, we will look at our third and final pillar of trust, ethics.
