We are starting to use AI to screen incoming project leads and field service requests, but we are worried the system might have hidden biases that damage our reputation. How do we conduct a practical ethical impact assessment on our operational AI systems without hiring expensive ethicists?

Question

Tyler Smith · Accepted Answer

You do not need to hire expensive consultants to ensure your AI operations are ethical and unbiased. You can conduct a highly practical, internal ethical impact assessment using your Core Values as your guide.

Start by defining the purpose and scope of your AI application. For instance, if you are using AI to prioritize client service requests, outline exactly what data the model uses to make its decisions. Ensure it is not using arbitrary or unfair metrics that could alienate your clients.

Next, run the system through your Core Values. If one of your core values is Help First, ask yourself: Does this automated screening process help our clients get faster, better service, or does it create a frustrating barrier? If the technology dilutes your values, you must change the workflow.

Finally, test the system with diverse operational scenarios. Have your leadership team review a sample of automated decisions to check for any errors or bias. By embedding transparency and accountability into your AI design from the very beginning, you protect your reputation, align your technology with your culture, and ensure your operations remain healthy and fair.