Relating Data, Recommendations, Boredom, and the ROI of AI

What do #data, #recommendations, and #boredom have to do with #AI/#MachineLearning #ROI? Surprisingly lot. #AIeconomics #AIdesign pic.twitter.com/ryX3QMtyWe
— ivanjureta (@ivanjureta) March 5, 2018
Just like l’art pour l’art, or art for the sake of art was the bohemian creed in the 19th century, it looks like there’s an “AI for the sake of AI” creed now when building general-purpose AI systems based on Large Language Models. Let’s say that the aim for a sustainable business are happy, paying,…
There is no high quality AI without high quality training data. A large language model (LLM) AI system, for example, may seem to deliver accurate and relevant information, but verifying that may be very hard – hence the effort into explainable AI, among others. If I wanted accurate and relevant legal advice, how much risk…
If competence shortens learning, then its value is proportional to the cost of learning, that is, of iterations that would have been needed to achieve the effects of competence, but without having access to it.
Figures 1 and 2 show cost versus time; Figure 1 shows long iterations, Figure 2 short iterations. We choose to do something at time zero, at the origin of the graph in the Figure, and when we do so, we do it under some assumptions that we made at that time. Dashed red lines convey…
If an artificial intelligence system is trained on large-scale crawled web/Internet data, can it comply with the Algorithmic Accountability Act? For the sake of discussion, I assume below that (1) the Act is passed, which it is not at the time of writing, and (2) the Act applies to the system (for more on applicability,…