The #COVID19 Driver’s Seat
I caught COVID19 in March, a few weeks after breaking my arm badly enough to need surgery. I made it through, but along the way, and with the perspective afforded by a lot of...
Category: Machine Learning
Guest Post: Battle of the Curves: The Coronavirus Versus Human Decision Making (Part 3)
In Part 2 of this article, I described why it’s particularly challenging for people to take the right actions in the face of the coronavirus. Now I’ll show you the solution. The solution “…The...
Guest Post: Battle of the Curves: The Coronavirus Versus Human Decision Making (Part 2)
In Part 1 of this article, I described the general problem of making decisions in complex environments, along with a decision I made in the face of the coronavirus. Here, I’ll show you how...
Guest Post: Battle of the Curves: The Coronavirus Versus Human Decision Making (Part 1)
“Democracy depends on an informed populace. Yet the world is now a complex system, so we must democratize technology that helps us make good decisions, despite the complexity. This is now possible, and just...
Welcome to the Personal Artificial Intelligence Revolution
Like it or not, technology is everywhere. We have long ago passed a time where computers were relegated to men in white coats in distant rooms. It’s now in our pockets, in our faces,...
AI projects face new challenges, need new roles, and engage in new activities as they move into mass commercialization
I wrote previously about the emergence of applied, agile, assured AI. This post is a deeper dive, explaining the diagram, below, in more detail: Over the years, computer science has evolved through four eras,...
Decision Intelligence and the Tragedy of the Commons
Please take a careful look at the above diagram (it is a simple Causal Decision Diagram (CDD), as described in Link). It is, by my understanding, one of the most important patterns we face...
Towards Assured, Agile, Applied AI/ML/DI
As shown in the figure above, and as I have written about previously, AI is entering the mainstream, analogous to software engineering of a couple of decades ago. The challenges associated with successful AI/ML...
What should we do about “bad” AI?
OpenAI has built an AI that it suspects may be too dangerous to release to the public. What should it do? Sorry to say, but the technology train is hard to stop. Whatever OpenAI...
Machine Learning Classic Mistakes, Best Practices, and Epic Fails: experiences from over 30 years of applied projects
I and my teams have been delivering machine learning projects for about three decades, from work on the Human Genome Project in the 1980s through sensor fusion for the Department of Energy for hazardous...
