Kind of a scary logo, no? The US National Institute of Science and Technology has issued a paper entitled Four Principles of Explainable Artificial Intelligence and has asked for comment. The paper is premised on the idea that explainable AI increases trust in AI. It suggests that the fundamentals that contribute to explainable AI are:… Continue reading NIST requests comments on “Explainable AI”
(Opposite of artificial information in NY). I wrote in my last post about the commission being set up by New York State to study artificial intelligence regulation. And I suggested that maybe folks spend less time studying and more time moving ahead. And that I would try to find the legislation. Found it! So there's good in… Continue reading New York temporary state commission on Artificial Intelligence
Previously I described Google's white paper on AI regulation, released not long ago. Here are a few more thoughts about it (you'll have to have reference to the paper as I mention some specific items in it): Many of these discussions on AI regulation still begin with the premise that we know what we mean by AI.… Continue reading Some further thoughts on the Google AI governance white paper.
(Photo by Endlisnis licensed under the Creative Commons Attribution 2.0 Generic license.) The Israel Innovation Authority (a publicly funded agency under the direction of the Israeli Ministry of the Economy) has a recently released Innovation Report 2018 that contains a chapter entitled The Race for Techonological Leadership. Primarily this chapter considers the importance of AI in maintaining a competive edge… Continue reading Is a lowered bar more innovative?
I'm bringing back the Yakov Smirnoff Russian Reversal. You're welcome. If you are too young to remember that, you probably know more about AI than I do. A few weeks ago I was speaking about the regulation of data and how that would be dealt with. I talked about the spectrum between regulation of open… Continue reading In Soviet Russia Big Data bill you.