A Blog about Machine Learning, Data Privacy and what it takes to make sense of the digital words in the rise of the digital millennium.
Long time no seen! After the confinement I was absorbed by day-to-day work, and let go of writing my bits of knowledge. Here I’m again, to share with you Anu Bradford’s geopolitical view of the Artificial Intelligence state. Anu Bradford, professor at Columbia Law School, author of “The Brussels Effect”, came to Brussels to present Read More …
I received a copy of the book The Fourth Age: Smart Robots, Conscious Computers, and the Future of Humanity for evaluation (thanks again!), and I can tell you that the way it has been written has some great advantages. The subject of where lead the developments of Artificial Intelligence and robots technology is not easy and Read More …
Artificial intelligence programs that predict, suggest and act extrapolating from our requests are already being used in everyday tools, and this technology cannot be stopped. I just changed my car and it’s incredible how many options are based in AI, providing a lot of functionalities to assist me -the driver- making it almost unthinkable that I Read More …
BIG Data and Ethics was held a few weeks ago in the new premises of the DigitYser, downtown Brussels. It was a great Meetup, with interesting speakers and an interested public 😉 It’s always a pleasure when the public can contribute and presentations raise great discussions, and it is more important here on this gathering Read More …
I tweeted recently on this article about how Big Data has been used on the last American Presidential campaign. “At Cambridge,” he said, “we were able to form a model to predict the personality of every single adult in the United States of America.” The hall is captivated. According to Nix, the success of Cambridge Read More …
Last week Bev from PWI’s group in Linkedin pointed me to a great HBR article: “How One Clothing Company Blends AI and Human Expertise”, by H. James Wilson, Paul Daugherty and Prashant Shukla. It describes how the company Stitch Fix works, using machine learning insights to assist their designers, and as you will see, they Read More …
I did a talk in May this year called ‘Restore the balance of data’ at the Data Innovation Summit. It was about sexism and other biases that are implicit in our existing electronic traces (actual and historical data) and my concern because we are using that data as baseline information to create the new prediction Read More …
As you may know, I am a fan of Machine Learning, a subfield of Artificial Intelligence (AI) that englobes computer programs that exhibit some kind of intelligent behavior. The first researchers on AI began analyzing how we (humans) did intelligent tasks in order to create programs that reproduced our behavior. So look at the irony Read More …
David Auerbach has written this article pointing out that some classification algorithms may be racists : Can a computer program be racist? Imagine this scenario: A program that screens rental applicants is primed with examples of personal history, debt, and the like. The program makes its decision based on lots of signals: rental history, credit record, Read More …
Hear of this crowdsourcing success story at EyeWire: Crowd-sourced science isn’t just fun and games anymore; it has produced a scientific discovery new and important enough to be published in the journal Nature. The social gaming venture EyeWire lured citizen scientists to follow retinal neurons across multiple two-dimensional photos with the chance to level Read More …