Facebook, AI, yi,yi
Facebook would rather cover up, deny, and deflect than fix inherent problems.
Facebook AI, yi, yi
By Wes Hessel
One of the largest trends in technology today is that of “Artificial Intelligence” or AI. The Merriam-Webster dictionary defines AI as “a branch of computer science dealing with the simulation of intelligent behavior in computers.”
Facebook intends to literally connect with our brain waves.
The idea of bringing technological “thought processes” closer to human thought pattern isn’t a surprising goal. In particular, to aid companies in handling repetitive tasks. But, more deeply, companies want to use a predictive modeling approach, to statistically glean an anticipated decision, occurrence, or reaction. Imagine a virtual coin toss. Statistically, how many times out of 100, 1000, 10,000 or ten million will a flip result in a heads or tails outcome? Or, that you will order a Marguerita, not a Tequila Sunrise.
A “fuzzy logic” algorithm evaluates the truth values of variables. It is employed to handle the concept of partial truth, where the truth value is measured across a range. Standard logic indicates completely true to completely false. Such “fuzzy logic” and other similar algorithmic programming methods are being used in many aspects of our life. It is used from traffic management (be it vehicle, data, or human) to security (physical and virtual) to that “smart speaker” sitting on your table. One place most of us (at least it seems) encounter such “machine intelligence” is with the king of social media, Facebook.
Book ‘Em, Mano A Mano…
Simple procedures like post and share are complicated by FB artificial intelligence platforms.
Parts of our interaction with others through Facebook are “one-on-one” connections – Messenger and so on; others are more like broadcasting, such as the classic “Post” and “Share”. But behind those various communicative methods are multiple “back office”-type operations. Artificial intelligence systems and similar procedures are used more and more to do things as “easy” as suggesting your friends “Tag” up to these complex structures. For example, such structures are designed to help security people keep social medias safe, monitoring for prohibited language, identifying illicit bots, hacking, or illegal enterprises.