This is the end of a project. I have written one new article about or related to artificial intelligence every day for 500 days.
My wife suggested that I should just write: the end, and leave it at that.
I think she is somewhat relieved that this journey is over, although she has been heroically supportive and patient throughout these 500 days.
Today is strangely enough one of the only days where I cannot think of what to write about. After writing about artificial intelligence (AI) for 499 days I was not sure.
Side note: I have a project called 500 days of AI writing one new article every day about or related to artificial intelligence.
How have I almost reached 500 days of writing about AI?
Part of the answer is without a doubt the people that inspire me.
When there is talk of AI often it is possible to wander into technical descriptions. …
Winter is coming… At least in Norway where I live. October may seem a bit early to make a wishlist, however I thought this would be a good time. I am finishing up 500 days of writing about artificial intelligence every day, and it is time to look forward. Be aware that this is a blog article, and less focused on critical discussion or informative exploration of new topics than some of my other articles.
If you would take the time to share your wishlist for AI in the response (with a comment) that would make me very happy.
I cannot make a wishlist for anyone else than myself, so here it goes and in no particular…
Engaging with artificial intelligence as a social scientist, for me at least, I can perhaps too often fall into a role of criticising. I think critiques are important, yet I am unsure about how much that has been helping. I have expressed many times that the technology industry needs to be challenged in how they view sustainability or climate concerns, yet I do not necessarily provide any clear cut answers.
I think that should be fine. Not all answers are clear, and there is nuance and complexity in society.
Troubleshooting cannot be only from a technical perspective.
Social quantified from a technical perspective can be different from discussing purpose broadly. …
A lot seems to be happening with IBM lately. The announcement to split into two separate public companies is one interesting move. This article is a short look at IBM splitting into two public companies and further a longer critical look at the commercialisation of Watson NLP.
Just to be very clear:
In this article I do not state that Watson NLP Key Point Analysis cannot be used for social analysis. I am simply looking at their recent press release with a very critical eye as a social scientist. …
This article is a short reflection on concern about and action aimed at protecting the environment (environmentalism) in relation to contingencies within the technology industry.
First, what does that mean?
What is contingency?
The definition can be manifold:
This is an article about the programming language Go. It is an open source project developed by a team at Google, and with other contributors from the open source community. I am writing this to learn more and get a short overview, hope it helps you.
Go was designed at Google in 2007 to improve programming productivity in an era of multicore, networked machines and large codebases. Interestingly, the designers were primarily motivated by their shared dislike of C++.
Two points to note straight away:
It seems like an eternity since I decided to write an article on artificial intelligence (AI) every day for 500 days. My friends thought I was crazy, and others said it was impossible. It has been a nice journey, with some heavy and many good days . Now I have to look back on what I have learned, where we are in the present and where I should go next.
Before the first day, one of the reasons I started writing was a random conversation with a weapons engineer building autonomous weapon systems. I had previously been involved in sustainability, so when I heard about the rapid changes in AI, I was worried. …
This is day 492 of my personal blog project to write about AI for every day over 500 days. I thought it would be nice to gather some of the people that I met along the way for a weekend event with discussions on different topics.
I bought WeekendofAI.com.
The idea for the event is
“All conversations — no presentations!”
I enjoy presentations, but often presentations can get very promotional or with people selling various products or services.
Saying this people do of course to some extent promote themselves when they just talk, however I thought this format would be more comfortable, and perhaps could be exported as podcasts. …
Last year, in 2019 Stanford University launched an Institute for Human-Centered Artificial Intelligence (Stanford HAI).
In the same year they started a tradition, it seems, of having a fall conference.
I followed this conference last year watching all the talks. Both days can be rewatched on YouTube on these two links:
The 2020 version will zero in on the latest research on cognitive science, neuroscience, vision, language, and thought, informing the pursuit of artificial intelligence.
According to their own website questions to be addressed include:
“How can we hope to build an artificial intelligence when we still understand so little about human intelligence? …