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AI: Training Data & Bias

2 minutes 40 seconds

Now Playing As: Captioned (English) (change)

This educational video explores the significance of training data in machine learning, emphasizing how the quality and diversity of data influence AI predictions. Key concepts include data collection, recognition patterns, and the impacts of bias in datasets. The video uses examples like video streaming services and medical imaging to illustrate these points, making it relevant to topics such as AI. Understanding the role of human trainers in providing unbiased data aligns with computer science standards, supporting curricula that include digital literacy and data analysis.

Media Details

Runtime: 2 minutes 40 seconds

Topic: Education, Science, Technology
Subtopic: Artificial Intelligence , Computer Science, Digital Literacy, Information Literacy, Social-Emotional Learning, Technology
Grade/Interest Level: 7 - 12
Release Year: 2023
Producer/Distributor: code.org
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Still image from: AI 101 for Teachers: Bringing AI to the Classroom

Still image from: AI 101 for Teachers: Demystifying AI for Educators

Still image from: AI 101 for Teachers: Ensuring a Responsible Approach to AI

Still image from: AI 101 for Teachers: Fireside Chat With Sal Khan and Hadi Partovi

Still image from: AI 101 for Teachers: Transforming Learning With AI

Binary code raining on a dark background. Text reads, “From Computers to Artificial Intelligence: A History. 1936 to 1951.”

Binary code raining on a dark background. Text reads, “From Computers to Artificial Intelligence: A History. 1952 to 1964.”

Binary code raining on a dark background. Text reads, “From Computers to Artificial Intelligence: A History. 1964 to 1975.”

Binary code raining on a dark background. Text reads, “From Computers to Artificial Intelligence: A History. 1976 to 1993.”

Binary code raining on a dark background. Text reads, “From Computers to Artificial Intelligence: A History. 1994 to 2002.”