July 24, 2022
With two-legged humanoid robots climbing stairs and driving cars, Internet of Things technology starting to control our houses, and speech recognition software answering questions on mobile phones, artificial intelligence may be on the cusp of making huge advances that will change the way we work and live.
That’s the word from artificial intelligence researchers and industry analysts attending the AAAI-15 conference last week in Austin.
Artificial intelligence, also known as A.I., will be significantly more advanced in another five years, said Hinton, who is known for his work in machine learning and artificial neural networks, which are learning algorithms inspired by animals’ central nervous systems, particularly the brain.
Back in the 1980s, for instance, there was heavy attendance at A.I.-focused conferences, but there was also little science being done to support all the buzz.
Some of the old predictions haven’t come to pass. We don’t have robotic servants folding our laundry and taking care of our kids or elderly parents. We don’t have robotic airplanes flying us to business meetings, or mobile phones that connect with our offices, homes and cars.
Elon Musk, CEO at Tesla, claims that by 2025, AI would become smarter than humans and even overtake us. He considers AI as the biggest threat to humanity. A futurist named Ian Pearson while speaking on CNBC during a World Govt.
In a paper published last year, titled, “When Will AI Exceed Human Performance? Evidence from AI Experts,” elite researchers in artificial intelligence predicted that “human level machine intelligence,” or HLMI, has a 50 percent chance of occurring within 45 years and a 10 percent chance of occurring within 9 years.
In contrast, human beings are able to use their intelligence in a variety of contexts. Certain characteristics of our brains are very difficult to simulate. The human brain is extremely flexible and can adapt intuitively to unpredictable environments.
Humans are creative, curious and endowed with social skills, all of which continues to set us apart from even the most intelligent computer. This is why experts in the field, unlike the marketing departments of many companies, make a distinction between weak (or narrow) and strong (or general) AI.
Since the mid-20th century, scientists have been fascinated by the idea of machines that are capable of independent thinking and learning. In an article published in 1950, British mathematician Alan Turing raised the question of whether a machine might someday achieve the same level of intelligence as a human being.
In 1969, the Stanford Research Institute introduced the first robot that was able to move about and respond to commands, with the help of cameras and sensors.
And in 1997, a computer program defeated a world chess champion for the first time when IBM’s Deep Blue computer conquered the reigning world champion, Garry Kasparov, 4–2.
It will be critically important to ensure that these developments are handled in a way that benefits everyone and to deal responsibly with the relevant new technologies. This also means establishing strict ethical standards and creating models accepted throughout the world for managing these technologies.
This view is echoed in the 2020 Digitalization Monitor recently published by the consulting firm Bearing Point: A survey revealed that 62% of executives say it is important or very important to consider the ethical implications of AI.
And this is appropriate, because ultimately, intelligent machines should serve the needs of human beings, and not the other way around.
