Written by

Bernard Marr

Bernard Marr is a world-renowned futurist, influencer and thought leader in the fields of business and technology, with a passion for using technology for the good of humanity. He is a best-selling author of over 20 books, writes a regular column for Forbes and advises and coaches many of the world’s best-known organisations. He has a combined following of 4 million people across his social media channels and newsletters and was ranked by LinkedIn as one of the top 5 business influencers in the world.

Bernard’s latest books are ‘Future Skills’, ‘The Future Internet’, ‘Business Trends in Practice’ and ‘Generative AI in Practice’.

Generative AI Book Launch
View My Latest Books

Follow Me

Bernard Marr ist ein weltbekannter Futurist, Influencer und Vordenker in den Bereichen Wirtschaft und Technologie mit einer Leidenschaft für den Einsatz von Technologie zum Wohle der Menschheit. Er ist Bestsellerautor von 20 Büchern, schreibt eine regelmäßige Kolumne für Forbes und berät und coacht viele der weltweit bekanntesten Organisationen. Er hat über 2 Millionen Social-Media-Follower, 1 Million Newsletter-Abonnenten und wurde von LinkedIn als einer der Top-5-Business-Influencer der Welt und von Xing als Top Mind 2021 ausgezeichnet.

Bernards neueste Bücher sind ‘Künstliche Intelligenz im Unternehmen: Innovative Anwendungen in 50 Erfolgreichen Unternehmen’

View Latest Book

Follow Me

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

2 July 2021

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.

 | Bernard Marr

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.

  1. 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.

  1. 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.

  1. 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.

  1. 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. 

  1. 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.

  1. Consciousness

Machines need to be capable of consciousness and be self-aware for general artificial intelligence to be achieved.

  1. 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.

  1. 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.

Where to go from here

If you would like to know more about , check out my articles on:

Or browse the Artificial Intelligence & Machine Learning library to find the metrics that matter most to you.


Business Trends In Practice | Bernard Marr
Business Trends In Practice | Bernard Marr

Related Articles

AI And Jobs: The Good And Bad News

In today's rapidly evolving digital landscape, the discussion about artificial intelligence (AI) and its impact on jobs is more relevant than ever.[...]

How Generative AI Will Change The Jobs Of Artists And Designers

By definition, artists and designers are creative people. They work in these jobs because they have talent and skills that they love to share with the world.[...]

Generative AI And Data Protection: What Are The Biggest Risks For Employers?

If you’re an employer tempted to experiment with generative AI tools like ChatGPT, there are certain data protection pitfalls that you’ll need to consider.[...]

Building Responsible AI: How To Combat Bias And Promote Equity

AI has the power to be hugely transformative, both in business and in the way we live our lives.[...]

The 20 Generative AI Coding Tools Every Programmer Should Know About

It shouldn’t come as any surprise to learn that today’s generative AI large language models (LLMs) like ChatGPT and Google Gemini are just as fluent in Python, Javascript and C++ as they are in English, Spanish or Arabic![...]

Can Generative AI Solve The Data Overwhelm Problem?

Data is arguably the most valuable asset for today’s businesses.[...]

Sign up to Stay in Touch!

Bernard Marr is a world-renowned futurist, influencer and thought leader in the fields of business and technology, with a passion for using technology for the good of humanity.

He is a best-selling author of over 20 books, writes a regular column for Forbes and advises and coaches many of the world’s best-known organisations.

He has a combined following of 4 million people across his social media channels and newsletters and was ranked by LinkedIn as one of the top 5 business influencers in the world.

Bernard’s latest book is ‘Generative AI in Practice’.

Sign Up Today

Social Media

0
Followers
0
Followers
0
Followers
0
Subscribers
0
Followers
0
Subscribers
0
Yearly Views
0
Readers

Podcasts

View Podcasts