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CyberZen Fridays 10.02.20

Will AI take over the world? We’ve heard it for years now from all the major news sources in 2017, in 2018, in 2019, and yes in 2020?

The question though is misguided. As we seek to redefine our cyber-selves, we should be asking better questions.

Today’s Thought…

For those wishing to dive further down the rabbit hole and go beyond the question of “Will AI take over the world,” we suggest two great articles: Who Will Win the Race for AI? published by getpocket.com and The Welfare State Is Committing Suicide by Artificial Intelligence published by foreignpolicy.com.

While the answers may be wide and ranging, one thing is for certain. As informed and engaged users, we should all seek to learn from each other every day about the technological changes facing our world. Better yet, become critical contributors to the discussion! Share and reflect below!

A final thought, though we are neither sponsored by nor directly endorse anyone, we love the idea that a free people should not only think for themselves but should be able to discuss and create new tools for each other to build upon and hash over.

With this in mind, we’d love to share a link for Canva. We use it. It is free to use for individuals and small teams; we love the idea that our community has yet one more way to express themselves and design their digital worlds. Signing up and using Canva will aid both our causes and continue to give us yet another outlet to help fuel our Cyber passions.

As always, we thank you for joining our CyberZen Fridays, and hope you come back soon for more great content! To discover more pure inspiration and entertainment to keep us passionate about our tech lives, check out our Cyber-Play page.

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Wisdom

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

Understanding AI means coming to terms with the Interplay between reason, thought, action, and even our own humanity.

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!