Human Intelligence is the ability to learn or understand or to manage with new or trying situations. In other words, REASON. It is also defined as the ability to apply knowledge to manipulate one’s environment or to think abstractly as measured by objective criteria.
Human intelligence comes in a number of types
In 1983, an American developmental psychologist Howard Gardener described nine types of intelligence:
- Naturalist (nature smart)
- Musical (sound smart)
- Logical-mathematical (number/reasoning smart)
- Existential (life smart)
- Interpersonal (people smart)
- Bodily-kinesthetic (body smart)
- Linguistic (word smart)
In each of these areas, information is filtered by the degree of knowledge available to access. Humans can’t always articulate exactly how we’re able to do a lot of things. Sometimes we just “know.”
Humans are influenced by emotions, and as artificial intelligence grows in importance, will need to be trained to accept AI’s ability to assist humans and be partners in completing tasks, instead of a threat to the survival of their jobs. We react to things according to our natures, our memories and ways of thinking that cannot easily be automated.
If We Define AI Using the Same Parameters, What are the Differences?
- AI is a collection of advanced technologies applied to machines learning to sense, comprehend and act.
- Machine Learning is capable of accelerated performance in a wide range of activities, including detecting fraud and diagnosing disease.
- Today’s mainstream processors can’t reprogram themselves.
- Research is focusing on AI’s ability to take responsibility, use fairness and be transparent to learn, problem-solve and develop perception, all human traits.
AI’s Biggest Advances Have Been made in Speech and Image Recognition.
Voice recognition is being used by millions of people on Siri, Alexa, and Google Assistant even though it is less than perfect. An item can be dictated to a computer and transcribed almost three times faster than typing.
“ A Study by the Stanford computer scientist James Landay and colleagues found that speech recognition is now about three times as fast, on average, as typing on a cell phone. The error rate, once 8.5 percent, has dropped to 4.9 percent.”
Image recognition is becoming the ID card at corporate headquarters; doctors are using images to analyze a patient’s face to help diagnose disease and identify genetic syndromes; social media have expanded to include facial recognition to connect friends; and of course, airports have used it for years to weed out potential problem passengers.
Recently, the speed of improvement has accelerated rapidly using “deep” neural nets, but it is still far from flawless.
AI is an important general-purpose technology of this era. Machine learning is the machine’s ability to keep up its performance while not humans having to explain exactly the way to accomplish all the tasks it’s given. Machines can exceed human speed and accuracy.
Today’s mainstream processor doesn’t have the ability to learn and change itself and can execute only pre-programmed commands line-by-line without reprogramming.
Within the past few years, machine learning has become far more effective and widely available and accepted. Humans do not move as quickly with change as machines.
Adapting to the psychological changes required to learn new things can be a huge barrier to integration of new skills in the workplace.
Human beings rely on their “comfort zones” and don’t like to be pushed ahead. “We’ve always done it that way” is a common thought.
In the operation of the business, the effects of AI will grow exponentially in the next decade as core processes and creative ways of doing business are challenged in almost every industry, such as manufacturing, retailing, transportation, finance, healthcare, law, advertising, insurance, entertainment, education, et al.
What will Slow the Progress of AI in Business Settings?
Management may not quickly or totally accept that AI works with people who may have unrealistic expectations and lack of understanding of AI and its role in the workforce.
People are also concerned about the threat AI brings to their privacy.
Implementation will come to humans with a great deal of training that requires time to learn the new technology, and in some ways, convince the worker of the benefit of AI.
Lack of imagination in business uses. Like so many future ideas such as machine learning, neural nets and other forms of technology, there is not much connection or understanding of the real capabilities.
AI is focused on the questions and answers it has been programmed to answer, so users are required to learn an entirely new language to access answers.
Human intelligence is subject to interpretation, mood, emotion, and feelings, the very attributes of humanity Spock used to tell Captain Kirk on the original Star Trek divided the human from other, less biased species.
So despite the seeming goodness of AI, it is easy to get a machine hung up on answers to questions not asked exactly in the way that was expected therefore putting the machine in the place of total inability to solve that problem.
At this time, a human will always be needed to make split-second decisions and apply wisdom along with knowledge. However, there are predictions that given enough programming, AI may be able to overtake and give the orders to the human part of the workforce.
Author: Usman Raza is the co-founder of Christian Marketing Experts and marketing strategist working with various brands online, and also a content marketing manager. He is devoted to helping small businesses bridge success gaps by providing in-depth, actionable advice on digital marketing, SEO, and small business growth.
