@Mer__edith on the ramifications of the #surveillance business model for #AI.
"First, AI is not a technical term of art, it is a marketing term that has been applied to a hodgepodge of data-centric techniques. Second, the sudden shift to AI in the early 2010s had everything to do with tech industry consolidation and the resources at the heart of the surveillance business model. We see this clearly when we recognize that what was new about AI in the early 2010s was not new innovations in machine learning indeed the methods that were applied to prove ai's Newfound utility date from the 1980s.
What was new were the significant amounts of available data used to train AI models and the power of the computational infrastructure available to conduct this training and calibration, resources concentrated in the hands of a few private tech companies care of the surveillance business model.
So if we look at it from this perspective we see that AI's primary role has been to expand what can be done with the massive amounts of surveillance data collected and stored by large tech firms. By sprinkling the magic and marketing of AI surveillance data could be used to create models of reality which are then applied far beyond surveillance advertising to make predictions and determinations across nearly every realm of human life from transportation to education to medicine to confidently offering the wrong answer in response to a prompt and so on.
And, it's worth noting that this too produces intimate data it may not be by direct surveillance but it still has power over us, it still shapes our lives, and it still shapes our profiles. So, in short, the marketing narrative of AI mystified, entrenched, and expanded the surveillance business model at the heart of the tech industry."
https://youtu.be/yBQ_2AqI7w0?list=PLGeR6jS_7N7cNmCv1vh5yTyc8nvr28FO1&t=29