here is the transcript. prepare student notes for it. use markdown syntax to highlight. summarize important points as executive summary at the beginning.

At IBM, we define AI as
anything that makes machines act more intelligently
We like to think of AI as
augmented intelligence.
We believe that AI should not attempt
to replace human experts, but rather extend human capabilities
and accomplish tasks that neither humans
nor machines could do on their own.
The internet has given us access to more information, faster.
Distributed computing and IoT have led to massive amounts of data,
and social networking has encouraged most of that data to be unstructured.
With Augmented Intelligence, we are putting information
that subject matter experts need at their fingertips,
and backing it with evidence so they can make informed decisions.
We want experts to scale their capabilities and let the machines do the time-consuming work.
How do we define intelligence?
Human beings have innate intelligence, defined as the intelligence that governs every activity in our body.
This intelligence is what causes an oak tree to grow out of a little seed, and an elephant to form from a single-celled organism.
How does AI learn? The only innate intelligence machines have is what we give them.
We provide machines the ability to examine examples and create machine learning models based on the inputs and desired outputs.
And we do this in different ways such as Supervised Learning, Unsupervised Learning,
and Reinforcement Learning, about which you will learn in more detail in subsequent lessons.
Based on strength, breadth, and application, AI can be described in different ways.
Weak or Narrow AI is AI that is applied to a specific domain. For example, language translators, virtual assistants,
self-driving cars, AI-powered web searches, recommendation engines, and intelligent spam filters.
Applied AI can perform specific tasks, but not learn new ones, making decisions based on programmed algorithms, and training data.
Strong AI or Generalized AI is AI that can interact and operate a wide variety of independent and unrelated tasks.
It can learn new tasks to solve new problems, and it does this by teaching itself new strategies.
Generalized Intelligence is the combination of many AI strategies that learn from experience and can perform at a human level of intelligence.
Super AI or Conscious AI is AI with human-level consciousness, which would require it to be self-aware.
Because we are not yet able to adequately define what consciousness is, it is unlikely that we will be able to create a conscious AI in the near future.
AI is the fusion of many fields of study. Computer science and electrical engineering determine how AI is implemented in software and hardware.
Mathematics and statistics determine viable models and measure performance.
Because AI is modeled on how we believe the brain works, psychology and linguistics play an essential role in understanding how AI might work.
And philosophy provides guidance on intelligence and ethical considerations.
While the science fiction version of AI may be a distant possibility,
we already see more and more AI involved in the decisions we make every day.
Over the years, AI has proven to be useful in different domains, impacting the lives of people and our society in meaningful ways.