This article is about the newly formed European Association for AI, Data and Robotics.
Adra, which is an acronym for “AI, data and robotics Association”, is an international non-profit association incorporated in Brussels as an Association Sans But Lucratif (asbl).
Both ‘sustainability’ and ‘artificial intelligence’ can be hard concepts to grapple with. I do not believe I can pin down two incredibly complex terms in one article. Rather I think of this more as a short exploration of different ways to define sustainable artificial intelligence (AI). If you have comments or thoughts they would be very much appreciated.
These thoughts come after a discussion on Sustainable AI I moderated on the 21st of May as part of my role at the Norwegian Artificial Intelligence Research Consortium. …
Since the EU Commissions has decided to release a proposal for a legal framework on AI I thought it would be worth a read. This article, that you are reading, can be considered my personal notes on the regulations and not an official statement from any organisation I am part of.
One can hear several broad statements in different media:
What I find very annoying is when I hear people say that they cannot find talented women in the field of artificial intelligence (AI). This is often an expression that can come up when discussing public debates, development or application. Yes, on the one hand there are existing inequalities in the field of AI with fewer women represented, on the other hand the way women in AI contributes to the field already must not be underestimated! Part of this frustration is what led to this list that we made to share on International Women’s Day the 8th of March 2021…
Doing 500 days of AI project was a fascinating journey and enriched my life in many ways.
One way was through awareness of the breadth of areas that artificial intelligence was being discussed within society.
500 days of AI was a personal project of writing one new article every day about AI for 500 days.
I could also more clearly see the varied applications of AI in multiple environments.
This article is about going from writing 500 days of AI to 1000 days of writing about AI:
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.
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 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. …