AI or A Lie?
Technology is giving life the potential to flourish like never before or to self-destruct. Will AI make a Difference?
In the last 12 months you’ve seen everything from proactive insights to contract negotiations done by AI bots to virtual network assistants that “make great coffee.”
Jack Ma and Elon Musk discussed the rise of AI at the World Artificial Intelligence Conference where they discussed the growth of artificial intelligence (AI). While Ma seemed to be mainly an optimist of human beings being smarter than technology and machines and AI just being a creation by man. Musk, on the other hand, asserted that humans underestimated how powerful AI technology would become. “I think generally, people underestimate the capability of AI. They sort of think like, it’s a smart human. But it’s, it’s really much—it’s going to be much more than that. It’ll be much smarter than the smartest human,” Musk said while explaining that about how limitations of humans and exponential growth of machines would lead AI to become a God-like force.
To this, Ma responded by saying, “I’m not a tech guy. I think I’m all about life. I think AI is going to open a new chapter of the society of the world that people try to understand ourselves better, rather than the outside world. And it’s so difficult to predict the future.” He explained how modern AI technology can make life better for people today.
Below is an excerpt from the interview
What AI is and What AI is NOT
Artificial intelligence enables computers and machines to mimic the perception, learning, problem-solving, and decision-making capabilities of the human mind.
IBM further defines, the term artificial intelligence (AI) referring to any human-like intelligence exhibited by a computer, robot, or other machine. In popular usage, artificial intelligence refers to the ability of a computer or machine to mimic the capabilities of the human mind—learning from examples and experience, recognizing objects, understanding, and responding to language, making decisions, solving problems—and combining these and other capabilities to perform functions a human might perform, such as greeting a hotel guest or driving a car.
AI has already become a part of our everyday lives. The surge in AI development is made possible by the sudden availability of large amounts of data and the corresponding development and wide availability of computer systems that can process all that data faster and more accurately than humans can. AI is completing our words as we type them, providing driving directions when we ask, vacuuming our floors, and recommending what we should buy or binge-watch next. And it’s driving applications—such as medical image analysis—that help skilled professionals do important work faster and with greater success.
As common as artificial intelligence is today, understanding AI and AI terminology can be difficult because many of the terms are used interchangeably; and while they are actually interchangeable in some cases, they aren’t in other cases. What’s the difference between artificial intelligence, automation and machine learning? Between machine learning and deep learning? Between speech recognition and natural language processing? Between weak AI and strong AI?
Artificial Intelligence Is Not A Technology
As per DigiLeaders, AI is not some magic that will solve anything for you and your digital experiences—just forget the notion. You can’t hire a robot to do all your tasks super-fast, you still need humans and will always do.
AI is first and foremost a feature that can automatize lesser tasks, like finding a document faster for you. Also, contrary to what the doomsday preachers say, AI is not remotely close to human intelligence or concept-formation as we speak. AI can only do what is instructed within a given field
AI will not conquer the world. People might worry about losing their work to more effective robots and AI processes, but remember this: People worried about the same thing when the wheel was invented, when the first factories and gears arrived, when the assembly line arrived, and when computers first arrived. The results each time has been more innovation, wealth and more jobs.
As per content from Forbes and Cognilitica, in order to understand where we currently are or aren’t with AI (depending on how you want to look at things) it’s important to know the roots of modern AI. The term artificial intelligence was coined in 1956 at a Dartmouth University summer conference. John McCarthy, celebrated AI researcher who pulled together the conference himself, said that AI doesn’t have a technology-specific meaning. In his words, “AI is the science and engineering of making intelligent machines.” The creator himself saw AI as not the ends, but the means. AI is not a technology any more so than physics or civil engineering. The challenge is, like all sciences, there must be application to bring concept to reality.
Making intelligent machines is both the goal of AI as well as the underlying science behind understanding what it takes to make a machine intelligent. AI represents our desired outcome and many of the developments along the way of that understanding such as self-driving vehicles, image recognition technology, or natural language processing and generation are steps along the journey.
Forward thinking organizations and individuals understand that AI is not a technology. They don’t ask whether something they implemented is or isn’t AI. Instead they ask what transformative effect that technology has. They ask what benefit they can realize from machines that can think and act as humans do. They ask how AI will represent opportunities to dramatically increase efficiency, reduce expenses, increase customer satisfaction, improve existing products and services, and create new business opportunities. Because at the end of the day, an organization itself is not about its technology, but its overall mission and objective. And just like those organizations, AI is not defined by technology, but by the overall objective and how people and its culture can move progressively towards a brighter future of accessibility, innovation, efficiency and transformation.
Sources and Excerpts
https://digileaders.com/topic/ai/
https://enonic.com/blog/ai-what-artificial-intelligence-is
https://www.guru99.com/artificial-intelligence-tutorial.html