- September 3, 2018
- Posted by: admin
- Category: Uncategorized
There’s a lot of talk today about artificial intelligence and the impact it will have on the future. But the term gets thrown around so much that it’s falling victim to the Kleenex syndrome—the label is so overused that the meaning gets diluted and applied to things that aren’t actually AI. What actually is AI and what isn’t? Does it even really exist?
What is Artificial Intelligence?
Artificial intelligence was first defined in the 1950s as any task performed by a machine if a human would have to use intelligence to accomplish the same task. Simply put, AI acts on a situation the same way a human would. If a human would understand a conversation and give an answer, so would AI. If a human could analyze information and make future plans, so would AI.
AI is based on algorithms. It uses computing power to solve specific problems faster and often more accurately than humans can. Much of AI is based on statistics and finding trends and patterns in data.
AI can do a variety of things that a human would have to use intelligence to do, such as analyzing, planning, problem solving, learning and adapting. Pegasystems founder Alan Trefler says anything that makes a system clever is considered AI. Machine learning, which is another part of AI, takes information and learns and adapts as it gathers new data.
What isn’t Artificial Intelligence?
However, AI as we have it today isn’t truly intelligent on its own. Intelligence is often considered the ability to adapt to unknown circumstances. If we use that definition to apply to artificial intelligence, it greatly cuts down on what can be considered AI. Most AI can’t really think on its own, but it can be programmed to learn and adapt. This is considered narrow AI. A machine can use AI-powered facial recognition to sort through photos. As the program sees more photos, it is programmed to expand its knowledge of what it can sort by. It may start being able to differentiate between 10 faces, but as it sees more faces, it is programmed to learn them. Soon, the program may be able to differentiate between 25 faces. The machine isn’t actually thinking on its own and learning those new faces; it has simply been programed to do so.
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Article Credit: Forbes
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