Why We Need Women in AI – Richard Freeman, PhD – Medium

I got excellent feedback after taking part in the panel discussion, and since it was not recorded I thought I would write a blog post on some of what I discussed, my response to the core questions and some other thoughts I had on the topic. Artificial Intelligence (AI) is often thought of as being new areas that are currently hard to automate, difficult problems to solve using computers, and ultimately replacing humans jobs. Yet we have been using a form of AI or Machine Learning (ML) since the 1950's as Artificial neural network, later on adopted by businesses in 1970's initially as decision support systems, and later evolving into data mining, business intelligence, analytics & insights, and more recently data science. What has changed is that the sales and marketing teams are now involved, and sometimes even overpromising on what is possible! Yet there has also been an increase in computing power, storage capacity with massive datasets collected from a larger number of sources, and open source data science code, packages and tutorials that are readily available.