Tech MeetUp with AI: Data & Relationships

What is Artificial Intelligence (AI)? Where did it come from? Why is there so much hype around AI? For the average user in cyberspace we’ve heard all the hype, but do we really know what it is? Its time we break it down and provide the fuel a little understanding.

Join us in our Wisdom Series where we explore all the latest in disruptive tech for the common user in digestible, straightforward chunks. We begin with Meet AI, a user-focused graphic series built on understanding the basics in the field. As AI may very well be the most disruptive technology in the course of human history, it is where we begin.

Understanding AI Means Breaking Down Our Own Relationship with Data

As humanity has begun to break down the doors to understanding intelligence, more specifically assessing when it is possible to describe a machine as intelligent, we’ve wrestled with a true definition beyond a blend of science and engineering. This is a puzzle that has occupied the minds of AI researchers for decades. Over time, four different pictures have emerged in the approach to understanding AI.

In the graphic above, we illustrate these four main approaches or ways to define AI. These also represent differing goals in the current field of AI research as illustrated (in the orientations/applications listed). The interplay above also reflects four possibilities when imputed in the real-world: thinking human, acting human, thinking rationally, and acting rationally.

In the four possibilities, each relates how the information the universe has to offer (data) is sought, acquired, and processed (general intelligence). Each of these courses of understanding has yielded beneficial insight in this regard. And overcoming the differences in these four approaches to this relationship with data will yield the ultimate result and create beings that are no longer separate from us. But for our purposes, we pause here to reflect.

How do we truly conceive intelligence? What is the right blend of these four elements? What should our relationship to data be? How should we blend action, thought, reason, and humanity (emotion)? Is there a correct answer?

So now we have our homework, to think about, reflect on, and consider the possibilities? How should these elements be used in creating intelligent machines? Share with a comment below and get the conversation going!