Archives: KSB

Demonstrate the methods used to deliver training to non-technical staff on AI or automation solutions.

Outline a post-deployment mitigation strategy to combat overreliance.

Describe how errors or algorithmic bias can affect users or organisations when AI or automation is used.

Make changes to an AI or automation solution based on testing and feedback to ensure accessibility in alignment with organisational needs.

Describe how feedback and evaluation loops are used to improve systems, processes, productivity, or performance.

Explain the purpose of human in the loop safeguards within feedback and evaluation loops.

Analyse data to support an AI or automation solution.

Prepare data to support an AI or automation solution.

Convert data to support an AI or automation solution.

Explain common sources of error in AI or automation systems and mitigation approaches or fairness metrics.