XKCD on Artificial Intelligence

A collection of XKCD’s best works (in my opinion) on Artificial Intelligence and related topics. 

Starting with my favorite for discussing sanitizing inputs and naming conventions. “Little Bobby Tables” is a classic. 

The Three Laws of Robotics

There is on other way than Asimov’s way. Remains true for robotics and ton of other stuff. One of my favorite readings to assign to students is “The Last Question” short story by Asimov. There isn’t a better discussion of the concept of Entropy anywhere.

Robot Future

Yes – Terminators are bad. There are much more bad stuff that can happen before Terminators become a feasible prospect. Risks of AI should focus there rather than on sentient robot beings.

Machine Learning

Explainability of Machine Learning remains an elusive goal for the most part. Without that we are just grasping in the dark and are likely to rely on ex-post pattern fitting to explain our results. Not ideal.

Computers vs Humans

Computers can do a lot of things. Computers also absolutely suck at a lot of things. AI will automate a lot of human labor but there remains a lot of aspects of human experience that don’t seem to lend themselves to computerization. 

Judgment Day

Terminators will save us from us as we are our worst enemy.

Real Programmers

For Emacs lovers (including me). I have spent obscene amount of hours searching for a building the perfect dot-emacs file. Hours well spent.

Curve-Fitting

Particularly relevant in the era of Cubic Fit models of Covid-19 data.

Correlation

Only XKCD can explain an entire class worth of material in one panel.

Convincing

My Data Visualization students take note.

P-Values

P-Hacking explainer. I have done a few sub-group analyses in my day too.

Linear Regression

This is a living document. I will add more material to it as I find them.

Do you have a comment or question?