Experimental Epistemology -- Presentation by Monica Anderson

The Northwest AGI Forum is pleased to welcome back Monica Anderson for a presentation and discussion of her work, as described by Monica:

"In my post '7. The Red Pill of Machine Learning' on my blog site
https://experimental-epistemology.ai I discuss the most fundamental aspects of Machine Learning, focusing on WHY it works instead of HOW it works (which is discussed in places like TensorFlow manuals). It is a surprise to many that Machine Learning is not scientific. The post explains how we can claim this, what the repercussions of this are, what AI/ML can and cannot do, and where AI/ML is going in the medium term.

I provided a short (20 minute) talk by the title 'The Red Pill of Machine
Learning' to this group some months ago, which means some of you have heard part of this already. With that in mind, I will only re-run a few of those slides as a summary of The Red Pill as a starting point for new participants. But after that we will have an extended Q&A about any materials on the ENTIRE website that you find interesting and want to discuss with me and each other."

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Bio:

Monica Anderson is an AI/ML Experimental Epistemologist, possibly the only one. Born in Sweden but now a US citizen, she is a polyglot and has also used 20+ programming languages professionally. She is an ex-googler, serial entrepreneur, and is currently Director of Research at Syntience Inc. Her research focuses on Natural Language Understanding (NLU) using a deep neural network algorithm of her own design called Organic Learning, and a cloud based runtime engine called UM1 (Understanding Machine One).