How to get a billion people to work for free

How to get a billion people to work for you for free-Technology and private property.

Scott Dennis March 13, 2018

We have all heard the axiom that “knowledge is power”, when a clear view of how power is being wielded today emerges it is perhaps far more accurate to say that “data is power”. There are multi-million dollar businesses that provide data protection services, but what about the data that we freely hand over or that we are unaware that we are providing? An informed citizen needs to understand how this data is being retrieved, by whom and for what purposes. Let me start to lay out the concept of how data is retrieved with a personal story. In 2007 I was part of a group of managers who had the responsibility of hardening the security of a port facility. At regular intervals we would invite stakeholders such as the fire department, police and the local military representatives to stage a drill that introduced possible scenarios that could affect the port and we responded based on our particular role. One year we had a special group of guests from the labs at the Defense Advanced Research Projects Agency (DARPA) to observe the exercises. They explained that they were there to monitor our decisions in response to the ever worsening artificial scenarios playing out during the exercises. These Naval Intelligence researchers were early adopters to the theory that artificial intelligence was never going to reach its potential without useful data sets.

AI is dumb unless we teach it about ourselves

The kind of work that DARPA was doing that afternoon falls under a thirty year old application of technology called a decision support system (DSS). Over the decades government and the corporate world has applied these technological structures more for the facilitation of organizational processes than actual decision making. However the revolutionary scaling of how organizations can now collect data into so called knowledge warehouses has made actual decision making possible. Look at it this way, if you wanted your Artificial Intelligence to help you make decisions ten years ago then you were doing field work or surveys and keying  in the data. Now imagine that information pipeline scaled to the level of the global internet with billions of people offering information about themselves and their behaviors.

What We Share

Recently January 28th has been named data privacy day; this is an effort to raise awareness on how to protect your private data. In my opinion it is a holiday similar to Valentine’s Day, asking you to think about security but actually a commercial for the vendors supplying protection measures. It is far more important for individuals to have a sense that their information is private property and act accordingly when interacting with their own data cloud. Even when we interact with our social media we are doing some of our most vigorous sharing of data.

Researchers have been suggesting that every Facebook user (now numbering one billion people) can be seen as digital workers inputting an estimated 20 minutes a day of their own private information, liking, commenting and clicking on ads. That is more than 300 million working hours of free digital labor per day.

The take away here is that free data sets are flowing to private AI, which will compete directly with workers in the near future. Some improved measures of protection will be enacted on May 25, 2018 with the enactment of the GDPR in Europe which mission is according to their website.

“The aim of the GDPR is to protect all EU citizens from privacy and data breaches in an increasingly data-driven world that is vastly different from the time in which the 1995 directive was established.”

So far there are no equivalent measures being considered in the U.S. as of yet, but it is important to get the word out on digital privacy so that we can move toward protecting citizens from zealous technological applications.

Scott Dennis Writes for Blue Collar Think Tank

Leave a Reply

Your email address will not be published. Required fields are marked *