Difference between revisions of "Limitations of AI - Data"
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| + | Passive vs. Active Data sets <br> | ||
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| + | Global data sets vs local data sets <br> | ||
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| + | Large data sets vs Small data sets <br> | ||
| + | * [https://spectrum.ieee.org/andrew-ng-data-centric-ai “In the consumer software Internet, we could train a handful of machine-learning models to serve a billion users. In manufacturing, you might have 10,000 manufacturers building 10,000 custom AI models.” (2-9-22)] | ||
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| + | Data required is not available (healthcare) or accessible (Healthcare privacy) <br> | ||
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| + | Why AI is biased - humans and data <br> | ||
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| + | Why AI Requires Quality Data Sets <br> | ||
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| + | Large data sets for Deep Learning <br> | ||
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| + | AI based on incomplete data will be misleading <br> | ||
Latest revision as of 16:59, 12 February 2022
Return to AI Research
Passive vs. Active Data sets
Global data sets vs local data sets
Large data sets vs Small data sets
Data required is not available (healthcare) or accessible (Healthcare privacy)
Why AI is biased - humans and data
Why AI Requires Quality Data Sets
Large data sets for Deep Learning
AI based on incomplete data will be misleading
