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ALEX Classroom Resources  
   View Standards     Standard(s): [DLIT] (6) 35 :
29) Define artificial intelligence and identify examples of artificial intelligence in the community.

Examples: Image recognition, voice assistants.

[DLIT] (8) 34 :
28) Develop a logical argument for and against artificial intelligence.

Examples: Students debate the use of artificial intelligence in self-driving vehicles.
Students write a persuasive essay to argue for or against digital personal assistants.

[DLIT] (9-12) 29 :
23) Debate the positive and negative effects of computing innovations in personal, ethical, social, economic, and cultural spheres.

Examples: Artificial Intelligence/machine learning, mobile applications, automation of traditional occupational skills.

[DLIT] (9-12) 41 :
35) Appraise the role of artificial intelligence in guiding software and physical systems.

Examples: predictive modeling, self-driving cars.

Subject: Digital Literacy and Computer Science (6 - 12)
Title: Machine Learning & Artificial Intelligence: Crash Course Computer Science #34

From spam filters and self-driving cars to cutting edge medical diagnosis and real-time language translation, there has been an increasing need for our computers to learn from data and apply that knowledge to make predictions and decisions. This is the heart of machine learning which sits inside the more ambitious goal of artificial intelligence.

ALEX Classroom Resources: 1

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