Course Content
Introduction to Artificial Intelligence
About this learning activity Less than a century old, artificial intelligence (AI) has already undergone three waves of transformative development. Today it gives humanity the most powerful tools for analyzing complex data, not only to find meaning but to learn without human intervention. In this course, you'll survey AI's history and explore ways that it can shed light on unstructured data. What you'll learn After completing this course, you should be able to: Define artificial intelligence Describe three levels of artificial intelligence Describe the history of AI from the past to the possible future Define and describe machine learning Differentiate between structured and unstructured data Describe how machine learning structures data Describe how machine learning structures unstructured data Describe how machine learning uses probabilistic calculation to solve problems Describe three methods by which machine learning analyzes data Describe an ideal relationship between humans and machine learning
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Introduction to Large language models
Welcome to Introduction to Large Language Models! In this module, you'll learn what large language models are, how they work, and some typical business applications. Estimated duration 30 minutes
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IBM – Getting Started with Artificial Intelligence

You learned previously about the three levels of artificial intelligence. The following image illustrates that the second level, Broad AI, is the current level.

Activity

Now that you’ve been introduced to what AI does and how it works, you can review these levels with deeper insight. Think of at least one time you’ve encountered these levels in your own life. 

 

Read the following paragraphs, reflect. (Writing an answer is a good way to process your thoughts. These answers are for your use only. 

A few years ago, artificial intelligence technology advanced beyond what’s called Narrow AI. The advanced AI technology, such as the machine that beat Jeopardy!’s world champions, specializes in one area. It can look up information on which it has been trained. However, if you ask it to figure out a better way to store data on a hard drive, it will give you a “blank response.”

How have you experienced Narrow AI in your own life? 


Today, people are surrounded by Broad AI, with capabilities that you’re reading about right now. Broad AI can structure vast amounts of unstructured data. It can also find and use patterns to make predictions that extend the expertise of humans who work alongside it.

How have you experienced Broad AI in your own life?


Now, consider your hopes or expectations for the predicted third level of artificial intelligence.

How do you expect to experience General AI later in your own life?

 


 
 
 

Think about this

Perhaps, 25 years from now, General AI is expected to emerge. AI researcher Nick Bostrom defines this superintelligence as, “an intellect that is much smarter than the best human brains in practically every field, including scientific creativity, general wisdom and social skills.” You’re likely to see General AI appear in your lifetime. General AI will enable supersmart bots and technologies to link AI with the Internet of Things through “embodied cognition”. This will give machines the ability to interact in human-like ways as they work alongside humans.

What will interacting with general AI feel like to humans?

 
 

Select the following attributes for ideas on how humans might experience General AI in the future.

AI everywhere

AI will move into all industries, from finance, to education, to healthcare. AI will increase productivity and enable new opportunities.

 
Deeper insights

New technologies will sense, analyze, and understand things never before possible.

 
Engagement reimagined

New forms of human-machine interaction and emerging technologies, such as conversational bots, will transform how humans engage with each other and with machines.

 
Personalization

Machine interactions will be personalized for you, with new levels of detail and scale.

 
Instrumented planet

Billions of sensors generating exabytes of data will open new possibilities for improving Earth’s safety, sustainability, and security.

 
 

What’s beyond these wonders? Humans, devices, and robots might exist as a collective “digital brain” that anticipates human needs, makes predictions, and provides solutions. Farther in the future, we might trust the digital brain to do things on our behalf across a broad spectrum of endeavors!

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