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AI as an umbrella term

This is based on a recent Nature study, and it’s useful with a caveat that may make the findings and visuals less striking than they look:

“π‘π‘Žπ‘‘π‘’π‘Ÿπ‘’ π‘ π‘’π‘Žπ‘Ÿπ‘β„Žπ‘’π‘‘ π‘“π‘œπ‘Ÿ π‘Žπ‘Ÿπ‘‘π‘–π‘π‘™π‘’π‘ , π‘Ÿπ‘’π‘£π‘–π‘’π‘€π‘  π‘Žπ‘›π‘‘ π‘π‘œπ‘›π‘“π‘’π‘Ÿπ‘’π‘›π‘π‘’ π‘π‘Žπ‘π‘’π‘Ÿπ‘  𝑖𝑛 π‘†π‘π‘œπ‘π‘’π‘ , π‘€π‘–π‘‘β„Ž 𝑑𝑖𝑑𝑙𝑒𝑠, π‘Žπ‘π‘ π‘‘π‘Ÿπ‘Žπ‘π‘‘π‘ , π‘œπ‘Ÿ π‘˜π‘’π‘¦π‘€π‘œπ‘Ÿπ‘‘π‘  π‘π‘œπ‘›π‘‘π‘Žπ‘–π‘›π‘–π‘›π‘” π‘‘β„Žπ‘’ π‘‘π‘’π‘Ÿπ‘šπ‘  β€˜π‘šπ‘Žπ‘β„Žπ‘–π‘›π‘’ π‘™π‘’π‘Žπ‘Ÿπ‘›π‘–π‘›π‘”β€™; β€˜π‘›π‘’π‘’π‘Ÿπ‘Žπ‘™ 𝑛𝑒𝑑*’, β€˜π‘‘π‘’π‘’π‘ π‘™π‘’π‘Žπ‘Ÿπ‘›π‘–π‘›π‘”β€™, β€˜π‘Ÿπ‘Žπ‘›π‘‘π‘œπ‘š π‘“π‘œπ‘Ÿπ‘’π‘ π‘‘β€™, β€˜π‘‘π‘’π‘’π‘ π‘™π‘’π‘Žπ‘Ÿπ‘›π‘–π‘›π‘”β€™, β€˜π‘ π‘’π‘π‘π‘œπ‘Ÿπ‘‘ π‘£π‘’π‘π‘‘π‘œπ‘Ÿ π‘šπ‘Žπ‘β„Žπ‘–π‘›π‘’β€™, β€˜π‘Žπ‘Ÿπ‘‘π‘–π‘“π‘–π‘π‘–π‘Žπ‘™ 𝑖𝑛𝑑𝑒𝑙𝑙𝑖𝑔𝑒𝑛𝑐𝑒’, β€˜π‘‘π‘–π‘šπ‘’π‘›π‘ π‘–π‘œπ‘›π‘Žπ‘™π‘–π‘‘π‘¦ π‘Ÿπ‘’π‘‘π‘’π‘π‘‘π‘–π‘œπ‘›β€™, β€˜π‘”π‘Žπ‘’π‘ π‘ π‘–π‘Žπ‘› π‘π‘Ÿπ‘œπ‘π‘’π‘ π‘ π‘’π‘ β€™, β€˜π‘›π‘Žπ‘–Μˆπ‘£π‘’ π‘π‘Žπ‘¦π‘’π‘ β€™, β€˜π‘™π‘Žπ‘Ÿπ‘”π‘’ π‘™π‘Žπ‘›π‘”π‘’π‘Žπ‘”π‘’ π‘šπ‘œπ‘‘π‘’π‘™π‘ β€™, β€˜π‘™π‘™π‘š*’, β€˜π‘β„Žπ‘Žπ‘‘π‘”π‘π‘‘β€™, β€˜π‘”π‘Žπ‘’π‘ π‘ π‘–π‘Žπ‘› π‘šπ‘–π‘₯π‘‘π‘’π‘Ÿπ‘’ π‘šπ‘œπ‘‘π‘’π‘™π‘ β€™, β€˜π‘’π‘›π‘ π‘’π‘šπ‘π‘™π‘’ π‘šπ‘’π‘‘β„Žπ‘œπ‘‘π‘ β€™.”

So, SVM, Naive Bayes, Random forest, and Ensemble methods are all called AI (not untrue, but…). Gaussian processes? Well, papers with a GP regression count then. Dimensionality reduction? So, papers using PCA or LDA count.

This feeds the trend of using AI as an umbrella term unfortunately.

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