Can we assure that the data that we need is complete and trustworthy?
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Can we assure that the data that we need is complete and trustworthy?
Can you avoid the known principle of “garbage in, garbage out”? Your AI system is only as reliable as the data it works with.
If you answered No then you are at risk
If you are not sure, then you might be at risk too
Recommendations
- Verify the data sources:
- Is there information missing within the dataset?
- Are all the necessary classes represented?
- Does the data belong to the correct time frame and geographical coverage?
- Evaluate which extra data you need to collect/receive.
- Carefully consider representation schemes, especially in cases of text, video, APIs, and sensors. Text representation schemes are not all the same. If your system is counting on ASCII and it gets Unicode, will your system recognize the incorrect encoding? Source: BerryVilleiML