Just like taking the time to properly chop your ingredients before you start cooking, or ensuring your car has a full tank and clean fluids before a road trip, ensuring that you’re putting clean, well prepared data into your system is the only way to achieve optimal results. We’ve all heard variations of the 6Ps, but the version to remember when working with an AI is ‘
Proper Prior Preparation Prevents Poor Performance’.
In an interview with the Boston Consulting Group, co-director of the Massachusetts Institute of Technology Initiative on the Digital Economy Andrew McAfee
made it clear that the ongoing issue of garbage-in, garbage-out (poisoning your results by inputting low-quality data into your machine) becomes keener when dealing with AI systems.