Artificial General Intelligence A Possibility In The Next Decade

Artificial intelligence or commonly known as AI has penetrated several organizational processes, emerging in an increasing concern that smart machines will soon substitute many humans in decision making. With a great computational data processing capability and an analytical approach, AI can lengthen humans’ cognition when addressing complexity, whereas humans can still contribute a more holistic, intuitive method in dealing with risk and equivocality in organizational decision making. This assumption reflects the conception of intelligence augmentation, which asserts that AI systems should be created with the purpose of augmenting, not replacing, human participation.

Human-like A.I. in 5 to 10 Years

At the Joint Multi-Conference concerning Human-Level Artificial Intelligence, a conducted survey shows that 37% of respondents think human-like artificial intelligence will be accomplished within five to 10 years.

Artificial intelligence is essential to daily life in the advanced world. People utilize AI such as sifting email account’s spam folder or browsing news feeds. Beyond the world of apps, can recognize dazzling examples of AI defeating Go and chess masters, arranging music, and classifying diseases in patients where human doctors detected none. But these are cases of weak AI, not powerful AI, which is also called artificial general intelligence (AGI). An AGI is a machine that can operate any cognitive duty that a human can.

AGI has long been a principal goal of AI researchers. It’s the subject of innumerable works of science fiction, such as HAL 9000 in 2001: A Space Odyssey and Ava in Ex Machina, and the evolution of an AGI would likely occur in a computer that could ultimately pass the Turing test, in which a computer must prove its intelligence is equivalent to, or vague from a human.

A Remarkable Survey

According to 37% of participants to a survey circulated at the Joint Multi-Conference on Human-Level Artificial Intelligence (HLAI) held last August 22-25, 2018 in Prague. The survey which was administered by the AI startup SingularityNET and the AI research and development company GoodAI, found that 28% of respondents anticipated AGI to rise within the next two decades while just 2% didn’t think humans will ever create AGI.

The survey also queried respondents to rank the sectors in which they thought AI could have the most significant impact. Below is the result based on percentage:

  • Healthcare (46%)
  • Logistics (41%)
  • Customer service (38%)
  • Banking and finance (34%)
  • Agriculture; retail, software development; manufacturing (28%)

“It’s no secret that machines are advancing exponentially and will eventually surpass human intelligence,” says Ben Goertzel, SingularityNET’s CEO and author of the software behind a social, humanoid robot called Sophia. “But, as these survey results suggest, an increasing number of experts believe this ‘Singularity’ point may occur much sooner than is commonly thought. Artificial general intelligence at the human level or beyond, as many respondents to our poll noted, could very well become a reality within the next decade.”

Introducing, A Decentralized AI Service Marketplace

SingularityNet establishes itself as an open-source protocol and marketplace for AI services. Mostly they are working to solve the dilemma that AI businesses currently build their services and libraries separately, while SingularityNet would be a collection of many AI services in one. They believe a few numbers of organizations should not control general AI, but rather should be enjoyed by everyone.

This idea is very comparable to Google’s TensorFlow, a project that was once a private series of algorithms designed by Google Brain, and that is now also an public source library with a series of tools to facilitate anyone to tap into Machine learning and deep learning easily, as well as, allowing the public to provide to its ever-growing library of AI-centered tools.

SingularityNET is owned by a Hong Kong company that was founded in 2013 called Hanson Robotics Limited. It practices in creating human-like robots (or androids). The company is well recognized for creating Sophia. In 2017, the company built SingularityNET along with its Chief Scientist, Ben Goertzel.

A technological singularity is presented to the epoch in human civilization when humans design an AI so powerful that it can improve itself at an exponentially accelerated rate, thus swiftly exceeding humanity’s intellect, eventually ending the current human era, or at the very least modify it beyond anyone’s ability to comprehend. It was described as “The Singularity,” a name coined by American SciFi author Vernor Vinge in 1993 to point to a single artificial intelligence controlling everything. It is also recognized as SAI or Super Artificial Intelligent.

Certainly, the team at SingularityNET believes this is something that could be conceivably positive to the society and has determined to produce a platform that will take us there faster. The company recognizes that the current state of AI is amazingly problem-specific (narrow), and to make a general AI; they will need to have a higher ability to share and build strong artificial intelligence libraries and tools, mainly they want to put all of the current AI techniques into one marketplace. Conclusively forming a whole that will be greater than the sum of its parts.

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