Blog

Radical Empiricism and Machine Learning Research

26 Jul, 2020

A speaker at a lecture that I have attended recently summarized the philosophy of machine learning this way: “All knowledge comes from observed data, some from direct sensory experience and some from indirect experience, transmitted to us either culturally...

United Nations 2045 Initiative – Building a Trustworthy Economy

25 Jul, 2020

Dr. Ramu Damodaran, Chief of United Nations Academic Impact, chaired and moderated a fascinating UN 2045 Roundtable on July 24, 2020. Alex Pentland, Professor of MIT Connection Science, Co-founder of AIWS.net, presented a new model, term: The Trustworthy...

President Ecuador discussed about the Social Contract 2020

19 Jul, 2020

President of Ecuador Jamil Mahuad discussed about the Social Contract 2020 at Democratic Alliance on Digital Governance Conference on July 1, 2020, organized by the Boston Global Forum, with attendence of legislators, leaders, and distinguished thinkers....

UN2045: Building a Trustworthy Economy

19 Jul, 2020

Today’s financial systems are not trusted by citizens because they are inherently unstable and winner-take-all, so for most people the system offers only failure.  Today, new digital technologies allow the fine-grain feedback needed to build systems...

AI’s struggle to reach “understanding” and “meaning”

19 Jul, 2020

Deep learning is very good at ferreting out correlations between tons of data points, but when it comes to digging deeper into the data and forming abstractions and concepts, they barely scratch the surface (even that might be an overstatement). We have...

Data versus Science: Contesting the Soul of Data-Science

07 Jul, 2020

SummaryThe post below is written for the upcoming Spanish translation of The Book of Why, which was announced today. It expresses my firm belief that the current data-fitting direction taken by “Data Science” is temporary (read my lips!), that the...