It Knows You Better Than You Know Yourself. Where do we go from here? Data has become the tail that wags the dog; and we are pets, not free individuals in this configuration. And things are growing Darker.
This is big data mining with companies like Cambridge Analytica claiming to have over 4000 personality points on every American, developing AI which is said to be capable of predicting human behavior…
In fact, Billionaire Robert Mercer has been using these technologies for his Hedge Fund for over 30 years.
This hedge fund is amongst the most successful in the world, being capable of slicing astonishing 30% profits on investments (higher per investment return than any hedge fund in the world).
Mercer was also a very big donor to Trump, and now it is believed by tech researchers that Trump is using the talking points produced by the AI black box in order to dig more deeply into the public psyche.
What’s strangest of all is that the AI black box works as a sort of echo chamber using the feedback from real persons, such as comments on Brietbart–one of the biggest comment feeds on the web.
Google Eric Schmidt (big funder of Hilary) said that ‘big data is more valuable than oil and countries will fight wars over it.’
It remains to be revealed how this will further devastate the life of normal, unsuspecting folks living in this scary technocracy which is quickly replacing humans with self driving cars, or cashiers with Amazon stores.
Inside the black box: Understanding AI decision-making
Neural networks, machine-learning systems, predictive analytics, speech recognition, natural-language understanding and other components of what’s broadly defined as ‘artificial intelligence’ (AI) are currently undergoing a boom: research is progressing apace, media attention is at an all-time high, and organisations are increasingly implementing AI solutions in pursuit of automation-driven efficiencies.
The first thing to establish is what we’re nottalking about, which is human-level AI — often termed ‘strong AI’ or ‘artificial general intelligence’ (AGI). A survey conducted among four groups of experts in 2012/13 by AI researchers Vincent C. Müller and Nick Bostrom reported a 50 percent chance that AGI would be developed between 2040 and 2050, rising to 90 percent by 2075; so-called ‘superintelligence‘ — which Bostrom defines as “any intellect that greatly exceeds the cognitive performance of humans in virtually all domains of interest” — was expected some 30 years after the achievement of AGI (Fundamental Issues of Artificial Intelligence, Chapter 33). This stuff will happen, and it certainly needs careful consideration, but it’s not happening right now.
What is happening right now, at an increasing pace, is the application of AI algorithms to all manner of processes that can significantly affect peoples’ lives — at work, at home and as they travel around. Although hype around these technologies is approaching the ‘peak of expectation’ (sensuGartner), there’s a potential fly in the AI ointment: the workings of many of these algorithms are not open to scrutiny — either because they are the proprietary assets of an organisation or because they are opaque by their very nature.
If not properly addressed, such concerns could help to turn overhyped expectations for AI into a backlash (Gartner’s ‘trough of disillusionment’).