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
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.
To say that something is able to decide requires that it is able to conceive more than the single course of action in a situation where it is triggered to act, that it can compare these alternative courses of action prior to choosing one, and that it likes one over all others as a result…
We should reduce the cost of authorship and create an incentive mechanism that generates and assigns credibility to authors in a community.
In April 2023, the Cyberspace Administration of China released a draft Regulation for Generative Artificial Intelligence Services. The note below continues the previous one related to the same regulation, here. One of the requirements on Generative AI is that the authenticity, accuracy, objectivity, and diversity of the data can be guaranteed. My intent below is…
The Algorithmic Accountability Act (2022 and 2023) applies to many more settings than what is in early 2024 considered as Artificial Intelligence. It applies across all kinds of software products, or more generally, products and services which rely in any way on algorithms to support decision making. This makes it necessary for any product manager…