Grade 5 AI: Bias in AI Day 1 (SF)

Grade 5Artificial Intelligence Bias in AI

Overview

Today I will learn to discuss current AI trends and potential future developments, as well as identifying the ethical implications (bias, privacy, intellectual property, and accuracy).

Motivation

STEP 1.

  Directions: Review the definitions for Artificial Intelligence and Machine Learning.

  • Artificial Intelligence - AI refers to machines that can learn, reason, and act for themselves. They can make their own decisions when faced with new situations, in the same way that humans and animals can.
  • Machine Learning - These algorithms use statistics to find patterns in massive amounts of data. They use those patterns to make predictions on things like what show you might like on Netflix or what you’re saying when you speak to Alexa.

Lesson

STEP 2.

  Directions: Follow along with your teacher as they share the Bias in AI Day 1 Lesson Presentation Links to an external site..

 

Activity: SHARE YOUR THOUGHTS

STEP 3.

Directions: Now that you have had a chance to learn more about Bias and the Impacts of AI Bias; What do you think society can to protect against bias?  Share your ideas in a discussion post and reply to a classmate.

discussion icon

Select the Next button at the bottom of the page to complete the discussion board activity.

Next page button in Canvas

Resources:

  This course content is offered under a  CC Attribution Non-Commercial Share Alike Links to an external site. license. Content in this course can be considered under this license unless otherwise noted.