What Is Strong (General) AI? Here Are 9 Practical Examples

What Is Strong (General) AI?
Here Are 9 Practical Examples

© 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
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Text
Introduction
Introduction
There are two different types of artificial intelligence—weak or narrow AI and
strong or general AI. General AI has not been achieved yet, but it describes
when machines are able to exhibit full human cognitive skills without any
human intervention. Here are 9 practical examples of general artificial
intelligence.
What Is Strong (General) AI? Here Are 9 Practical
Examples

When people talk about artificial intelligence (AI), most don't realize
there are different types of AI. Weak or narrow AI is the only one that
exists today. Strong or general AI will be achieved when machines have
the cognitive abilities that humans have without any human
intervention. Let's take a look at the possibilities for general AI and nine
practical examples.

What Is Strong (General) AI?
First, strong or general artificial intelligence is only theoretical at this point. It’s the artificial
intelligence that writers have fictionalized for years in sci-fi stories such as “The
Terminator” and “I-Robot.” Ultimately, when we achieve general artificial intelligence,
machines will have consciousness and decision-making skills—full human cognitive
abilities. The machines will not require humans to input programming to function. For all
intents and purposes, this would be when machines act, feel, respond and think just like
humans. We will be able to say strong AI has a mind of its own and will be able to
accomplish any task it sets out to complete, just like any human. Unlike narrow artificial
intelligence that classifies data and finds patterns, general AI uses clustering and
association when processing data. General artificial intelligence will also be self-aware.
However, just like a child, the AI will have to learn through experiences to constantly
advance knowledge and skills over time.

9 Practical Examples Of Strong/General AI
Simply, any task that a human can do could be accomplished by general AI. It technically
has all the potential of a human brain. It could tackle any problem or task in any area,
whether it be music composition or logistics—all the potential actions humans can
perform. This includes the following intellectual tasks:
1. Generalize knowledge and apply it as applicable to different circumstances
Humans learn from experience. They take learning from various experiences and apply it
as it makes sense to other situations they encounter. This would be an example of strong
AI.

2. Use knowledge and experience acquired to plan for the future
Another ability humans have is to use their life experiences in order to plan for the future.
As they encounter more experiences, they can use those experiences to create a plan and
drive the future. In narrow AI, the machines must rely on humans to program actions. The
machines are not capable of putting a plan in place for the future.
3. Alter and adapt to circumstances as things shift
General AI machines will be able to adapt as they encounter circumstances. Narrow AI is
only able to respond to variables that were programmed into algorithms. General AI can
make decisions on the fly.

4. Ability to reason
Unlike narrow AI, general AI will be able to reason. General AI machines will be
able to examine a situation and determine a course of action even if it’s outside
the bounds of what a human taught it.
5. Solve a puzzle
Certainly, AI algorithms have competed and won video games and chess
matches. Those successes are examples of AI following patterns and programs.
There are some perplexing issues that don’t currently have success defined.
When machines can solve a puzzle of this nature, general AI will be achieved.

6. Exhibit common sense
Another very human attribute is common sense. When a machine isn’t able to
rely on programming for answers, sometimes common sense is necessary. Weak
AI doesn’t exhibit common sense. To be on par with human cognitive ability,
machines will have to exhibit common sense.
7. Consciousness
Machines need to be capable of consciousness and be self-aware for general
artificial intelligence to be achieved.

8. Beyond mathematical equations
Narrow AI proved in many ways that a lot of the problems we solve as humans
are just mathematical equations. When a machine can go beyond mathematical
equations to general problem solving, machines will have human intelligence.
9. Discern needs and emotions
General AI would also be capable of reading needs, emotions, thought
processes and beliefs of other intelligent entities. This is referred to as the
theory of mind level AI. There’s nothing to simulate or replicate with this type of
AI, but rather machines truly understand humans.

We’ve learned a tremendous amount about the human brain, but there is still an
enormous amount to understand. To create general artificial intelligence, it will
be essential to comprehensively understand the human brain.
If Fujitsu-built K, one of the fasted supercomputers ever built, is any indication, it
will take us years to be able to figure out general artificial intelligence. It took K
40 minutes to simulate one second of neural activity using 82,000 processors.
Until general AI is achieved, there are many tasks narrow AI will continue to do
for us.

Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a
strategic business & technology advisor to governments and companies. He helps
organisations improve their business performance, use data more intelligently, and
understand the implications of new technologies such as artificial intelligence, big data,
blockchains, and the Internet of Things.
LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent
contributor to the World Economic Forum and writes a regular column for Forbes. Every day
Bernard actively engages his 1.5 million social media followers and shares content that
reaches millions of readers.
Visit The
Website
© 2020 Bernard Marr , Bernard Marr & Co. All rights reserved
© 2017 Bernard Marr , Bernard Marr & Co. All rights reserved
Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a
strategic business & technology advisor to governments and companies. He helps
organisations improve their business performance, use data more intelligently, and
understand the implications of new technologies such as artificial intelligence, big data,
blockchains, and the Internet of Things.
LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent
contributor to the World Economic Forum and writes a regular column for Forbes. Every day
Bernard actively engages his 1.5 million social media followers and shares content that
reaches millions of readers.
Visit The
Website

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What Is Strong (General) AI? Here Are 9 Practical Examples

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