Kyle Roth

I will present this paper in the FATE (fairness, accountability, transparency, ethics) reading group tomorrow (2023-10-25). You can view the slides I’ll use here. There are unresolved tensions in the algorithmic ethics world. Here are two examples: Is inclusion always good? Gebru: “you can’t have ethical A.I. that’s not inclusive… [a]nd whoever is creating the technology is setting the standards” Nelson: “… I struggle to understand why we want to make black communities more cognizant in facial recognition systems that are disproportionately used for surveillance.

The main text below is my summary of the points in the book, and I’ve put my commentary in sidenotes. If you want a Marxist, postmodern response to these ideas from the devil himself, check out Jordan Peterson & the meaning of life by Philosophy Tube. Reason and moral purpose come from Athens and Jerusalem, and without those things the West would not be where it is today. Socialism means taking handouts from the nanny state, and while our society continues to function with capitalism bearing the weight of socialist programs, it’s in the process of crumbling.

You can view this episode here, and you can download a transcript I made with whisper-medium here. I accept responsibility for errors in the transcript, alongside OpenAI, all people whose voices exist on the web, and the rest of humanity. :) writing technology permalink DYT: You know, it took humans like centuries to perfect the technology of a dictionary and it took hundreds, thousands of people, probably like millions of hours to actually get to the point where you can easily look up a word.

Having heard about the terrible privacy policies of car manufacturers and Ford’s new patent to automate vehicle repossession, I was finally able to formulate some thoughts I’ve had brewing for a while about ownership in this world of ubiquitous computing. Before the industrial revolution, humans could essentially understand what a thing did by looking at it, and ownership was about possession of the object. Now we don’t understand our tools, and so possession does not imply control.

In late March 2023, the NYT released a series of explainer articles about AI. The first article in the seriesYou can also read it on Archive.org if you don’t have a subscription. characterizes the recent history of AI as a progression of new technological ideas appearing over time. Of course that’s partially true, but it gets the order wrong and misses important non-technical events that are key to understanding our current position.