Governing deep learning model utilization
Model utilization, the first pillar of model governance for deep learning models, is crucial for the responsible and ethical deployment of these sophisticated tools. In this section, we will explore the integral aspects of model utilization, including guardrail filters, accountability, compliance, validation, shared access, transparency, and decision support systems. By comprehensively addressing these aspects, deep learning architects can ensure effective model utilization that maximizes value from the model while mitigating potential risks and unintended consequences. Let’s dive deeper into these aspects:
- Guardrail filters: These play a crucial role in ensuring that models operate within established boundaries, minimizing the risks associated with inaccurate or harmful predictions. These filters help maintain the original purpose of the models. While the objectives of using a model’s predictions can significantly vary...
