The problem, he said, is understanding the “extremely complicated chains of cause and effect” in the world. “My fear is that homo sapiens are not just up to it. We have created such a complicated world that we’re no longer able to make sense of what is happening.”

"...what hasn’t happened is the widespread democratization of AI. Bill Gates said, “we’re going to have a computer on every desk.” I also think that Granny, who now uses a computer, will also be building little machine learners within a few years from now. And so when I talk about personalized medicine or I talk about a city doing climate change, those are all, kind of, that general umbrella—it’s not going to be just limited to the technologists. It’s a technology that’s going through this democratization cycle, where it becomes available and accessible in a much more widespread way to solve really difficult problems."

When everything is connected, security is everything. That’s why Raytheon delivers solutions that protect every side of cyber for government agencies, businesses and nations. Protecting the most critical information, systems and operations with breakthrough solutions — to make the world a safer place.

General Ashley: “There is a key piece of this…which is how do you operationalize it….a WWII example: the fact that there were planes, radios, and tanks, was not unique to the Germans in WWII…they came up with an operational concept that allowed them to leverage that…[I asked Peter Singer]… as you look at the things that are emerging… what do you see in the way of a breakthrough that would give somebody a really marked advantage…. [Singer said it’s not that I see something that gives someone a marked advantage..].. It’s who’s able to harness it, who’s able to operationalize it, and put it to effect.Click here to edit the content

Text has been easier for A.I. to handle, because words have discrete characters — 26 letters, in the case of English. That makes it much closer to the natural language of computers than the freehand chaos of imagery. But image recognition technology, much of it developed by major technology companies, has improved greatly in recent years.

The Stanford project gives a glimpse at the potential. By pulling the vehicles’ makes, models and years from the images, and then linking that information with other data sources, the project was able to predict factors like pollution and voting patterns at the neighborhood level.

““Data alone is chocolate, not chocolate cake. It’s just one ingredient: necessary but not sufficient to obtain business value from many data sources,” said Pratt, chief scientist and co-founder of the software company Quantellia. “Machine learning, artificial intelligence and decision intelligence are needed to extract the full value from investments in big data.”

"While humans have at least four abilities that help us navigate the world — what A.I. visionary Yann LeCun calls “common sense” — A.I. today is only just beginning to learn the most basic of these."

"... If Trump is only the symptom, what is the real problem? The real problem is that we lack an educational or learning system that activates our deeper capacities for vertical development. That new core process of learning, I believe, starts with cultivating the self, with activating our deeper creative capacities."

A list of resources to learn decision intelligence.

"We positioned ourselves as Girlapproved: a growth prediction and design firm for global enterprises. To the public we were known as the group that sold new intelligence and global growth blueprints designed to tap into what girls/women/females really want. In reality, we were a stealth lab exploring if "feelings" were a lost dimension of objective sensations - data that could help us understand reality better."

"Why is there so much Fake News? Fake News divides family members and attempts to discourage taking action. It dismantles our institutions, and prepares us for increasing demands from an authoritarian state. Understanding the emotion mechanics behind Fake News is the key to regaining our democratic system"

"A landmark paper appeared last December in the National Science Review (summary).  It describes the complex interdependencies between climate, consumption, population, demographics, inequality, economic growth, migration, and more. ...Now, consider Bill and Melinda Gates’ recent reaffirmation that democracy needs media to survive.

If the purpose of media is to help us understand things, and media doesn’t get complex systems, then what’s the consequence?  Have text and audio and data visualization reached their limits?"

"Many medical decisions involve issues that make decision making difficult...A variety of multi-criteria decision analysis (MCDA) methods have been developed to help individuals and groups make quality decisions in circumstances like these and move from decisional uncertainty to action. We are exploring how these methods can be used to help patients and providers work together to make good decisions in challenging circumstances."

"Let’s say we train a multilingual system with Japanese⇄English and Korean⇄English examples. Our multilingual system, with the same size as a single GNMT system, shares its parameters to translate between these four different language pairs. This sharing enables the system to transfer the “translation knowledge” from one language pair to the others. This transfer learning and the need to translate between multiple languages forces the system to better use its modeling power."

A new narrative for a complex age...Rational economic models are of little help on these issues, and a deeper understanding of psychology, sociology, political science, anthropology, and history is required. Likewise, communications is critical – thick reports are important for government ministries, but stories, narratives, visuals, and memes are needed to shift the media and public thinking."