"You only need AI evaluations if you want to know if it works. If you're comfortable building and shipping without knowing the impact on your business or your customers, then you can skip the assessment; however, most businesses would not actually be okay with that."
"What is your AI supposed to do? What is the purpose of it, and what will it look like when it is working? You might be surprised by how many people venture into building AI products without an answer to this question."
"Knowing what we are picturing when we envision the success of a project is necessary to know how to set up measurements of that success."
"Too often, organizations decide to add AI to their product in situations where they do not actually agree about the answer to the objective."
Before building AI products, it is crucial to define the objective clearly. Understanding the purpose and success criteria of the AI is necessary for setting up effective evaluations. Many teams overlook this step, leading to misalignment on goals. Without a clear vision of what success looks like, organizations may struggle to measure the impact of AI on their business. Evaluating AI is not optional if businesses want to ensure their products work as intended and meet customer needs.
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