Do we have enough dedicated resources to monitor the algorithm?
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Do we have enough dedicated resources to monitor the algorithm?
Do you already have a process in place to monitor the quality of the output and system errors? Do you have resources to do this? Not having the right process and resources in place could have an impact on the project deadline, the organisation and the users.
If you answered No then you are at risk
If you are not sure, then you might be at risk too
Recommendations
- Put a well-defined process in place to monitor if the AI system is meeting the intended goals.
- Define failsafe fallback plans to address AI system errors of whatever origin and put governance procedures in place to trigger them.
- Put measure in places to continuously assess the quality of the output data: e.g. check that predictions scores are within expected ranges; anomaly detection in output and reassign input data leading to the detected anomaly.
- Does the data measure what you need to measure? You could get measurement errors if data is not correctly labelled.