How Do You Balance Automation with Human Expertise?

Part 3: What Responsible AI Should Look Like

This brings us to our final question in our 5-part series about AI's impact on networks: what should responsible AI look like? Achieving a balance between automation and AI with human expertise necessitates a human-in-the-loop approach. In this model, automation handles high-volume, repetitive tasks, while human judgment is applied to more complex decisions.

To maintain this balance, validate your structure, implement incremental automation, and continuously reskill your team. Watch the video below for a more detailed explanation.

For more information on using AI for network automation, visit our BackBox Platform Page. Ready to get started? Request a demoto see our solution in action.

Be sure to check out other blogs and videos in this series, including:

• What does AI as an advisor look like in practice?
• What defines responsible AI in network automation?
• Why is explainability critical?