Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as understanding natural language, recognizing patterns, and making decisions. Machine Learning (ML) is a subset of AI that involves training algorithms on large datasets to enable systems to learn from data, identify patterns, and improve their performance over time without being explicitly programmed. Essentially, while AI encompasses the broader goal of creating intelligent machines, ML focuses on the methods and techniques that allow these machines to learn and adapt.

Getting Started Resource Suggestions

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What is Intelligence in Machines? | MIT on AI & How We Use AI in Our Everyday Lives

LINKS:

What is Intelligence in Machines:

https://youtu.be/dOqlfUkDnTU?si=1N9XOh_nZ6P1vlV-

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How we use AI in our Everyday Lives:

https://youtu.be/nkuMh_hZrss?si=0xN_JEx9U7GzdXIl

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What is Intelligence in Machines Thumbnail

What is Intelligence in Machines Thumbnail

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AI 101 with Brandon Leshchiinskeiy

Key Sections:

AI Definitions and Basics (0:30-3:09)

Types of AI and Applications (3:17-8:16)

Machine Learning Tasks (9:00-11:16)

Training Models (16:00-32:01)

Bias and Data Issues (32:25-34:02)

Final Thoughts and Cautionary Notes (36:13-40:17)

The link will take you to the video presentation. If you click on “supporting materials” on the side, you can also download all of the slides used in the presentation.

LINK:

https://ocw.mit.edu/courses/res-6-013-ai-101-fall-2021/pages/video-and-supporting-materials/

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Podcast: “What is AI? We made this radio play to help.”

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"What is AI? We made this radio play to help" Podcast Thumbnail

"What is AI? We made this radio play to help" Podcast Thumbnail

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