Hi all! Welcome back to another weekly update looking back at some of the interesting news bit (imho), interesting events, and more that captured my attention.
We had an official handover last week of Twitter to a new ‘Chief Twit’ Elon Musk. I’m a happy user of the platform since the first moment I start using it in early 2017. I was never the manic sharer or chatter, but I have met numerous interesting people; it is still a great inspiring channel for interesting articles and opinions, and I like to capture the inspiring talks or new insights from less inspiring ones. I created my own lens with a list of people I like to follow and hardly use the algorithmic suggested stream.
Why all this on Twitter? There was some unrest, of course, after Elon Musk had made his definite move. Will it stay the open and interesting space? Will the clickbait-driven negative space return? Hard to predict at this moment. Some interesting takes are shared below.
I am not trusting Elon for a balanced, safe space for everyone. The only hope I have is that he might understand that the value is not the clickbait opinion market space but the creative community that unlocks new interactions, new ideas, and more connections. Hope that is hard to believe, of course. The best outcome would be a more intelligent platform or better, open protocols again with a smarter business model.
AI for Good
Enough for now. I just returned from the 2nd edition of AI for Good
, as I announced last week. Organized by one of the subscribers of this newsletter (check out his own “Super Vision
”), Laurens Vreekamp. I know his focus on AI in journalism and beyond, but did not know what to expect from this evening. The speaker line-up was very interesting. Dasha Simons
from IBM and David Graus
from Randstad bringing AI ethics into practice in a corporate environment, and Oumaima Hajri
from a research background. I am not doing a detailed report but more general reflections. The theme of AI for good was more translated into AI not doing badly. Time was too short to dive into the depth of balancing between client interest and AI impact in a consultancy firm like IBM or stimulating a different work dividing system stimulated by just AI for a recruiting firm. They both showed, however, how the first steps are taken to bring more awareness in teams and organizations. Oumaima did a great job of stressing the bias dilemmas driven by power structures.
The evening opened more questions to address the next editions (which is nice). Especially how to relate to initiating AI systems that gain importance in the processes of organizations. Current tooling can help us to make the tensions clear, as the poet of Aaron Mirck made through prompting Copy.ai
with the minutes of the talks. It can already deliver fun and sometimes unexpected insights, but still rather biased.
As I wrote down as thoughts while listening to Dasha Simons; we are all convinced of the importance of explainability, transparency, and even interpretability, all focused on making the system responsible and, with them, the makers of the system. But what about the responsibility of the users? Are they also part of the equation, should they be responsible too? As the AI (or what term we use) is continuous learning and shaping, the prompts we give are more than a means to retrieve the best results; it is also part of the upbringing of the AI. We are, as users, also responsible for good AI as the producers are.
Events to visit
Ok, this was a lengthy introduction. It was fresh top of my mind. The meetup is back as an evening habit. Let’s see what else you could visit this or next week:
News of last week
Next to Twitter news, the usual mix of robotics, autonomous tech, things, etc.