65 Years Later: Is Artificial Intelligence a Cliche or Strategy to Impact Education ?

In 1956, researchers in computer science from across the United States met at Dartmouth College in New Hampshire to discuss seminal ideas on an emerging branch of computing called artificial intelligence, or AI. They imagined a world in which “machines use language, form abstractions and concepts, solve the kinds of problems now reserved for humans, and improve themselves”. This historic meeting set the stage for decades of government and industry research in AI.

The AI Infused Classroom with Holly Clark from "Flip & Take Lessons from Microsoft" - Virtual Seminar. May 23, 2023, 12:00 PM PDT.

Exploring the Impact of AI in Education: Strategies for Empowering Teachers and Leaders – Flip - TakeLessons

"In this session, you will delve into the potential impact of AI on classrooms, gain a deeper understanding of what it is, and explore how it could revolutionize writing, research, and other assignments. You will also discover ways to harness the capabilities of AI for positive outcomes and learn strategies for empowering teachers and educational leaders in an AI-driven world. Don't miss this opportunity to explore the exciting possibilities of AI in education!"

The National AI Initiative Act of 2020 (DIVISION E, SEC. 5001) became law on January 1, 2021, providing for a coordinated program across the entire Federal government to accelerate AI research and application for the Nation’s economic prosperity and and national security.

The National Artificial Intelligence Initiative (NAII) National Artificial Intelligence Initiative

As defined by the National Artificial Intelligence Initiative Act of 2020 (DIVISION E, SEC. 5001), “The term ‘artificial intelligence’ means a machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations or decisions influencing real or virtual environments.

Artificial intelligence systems use machine and human-based inputs to –

• (A) perceive real and virtual environments
• (B) abstract such perceptions into models through analysis in an automated manner
• (C) use model inference to formulate options for information or action

Topics typically encompassed by the term “AI” include machine learning, computer vision, natural language processing and understanding, intelligent decision support systems, and autonomous systems, as well as the novel application of these techniques to various domains.

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