You can add location information to your Tweets, such as your city or precise location, from the web and via third-party applications. You always have the option to delete your Tweet location history. Learn more
Many people believe that machine learning algorithms are analytical -- that they ponder over the data available and do logical, unbiased reasoning using some internal model. They're the opposite of that: they're intuitive. They do pattern recognition. They're System 1, not 2.
Machine learning models take the shortest path from input to label, based on previous situations they've encountered -- just like human intuition. Straight input-to-output mapping. And of course, they tend to be highly biased.
Replies indicate that people are very confused about what "bias" means. It means doing pattern recognition based on spurious correlations, as opposed to causal reasoning. A ML model will use all correlations found in the training data, and typically many of them will be spurious.
Rather than "tend to be highly biased", it is probably more accurate to say that the overall distribution of their outputs tends to converge to the distribution in the training data, if the training data is representative? And that MAY lead to unwanted bias.
I disagree with your claim that this is the same as human intuition. ML bias comes from correlations that arise through randomness or some confounding variable. Human bias is most commonly formed from no data at all; in fact it often goes directly against what the data implies.
That is why Deep Learning is actually 'Artificial Intuition': https://www.amazon.com/Artificial-Intuition-Improbable-Learning-Revolution/dp/1983895644/ref=sr_1_1 … . Thanks for recognizing the connection!
What I said to my son today was, "that's not why. It's that from the vast set of data that is you, you can take two totally *unrelated* topics and make 1 new idea that no one connected before."
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.
