What is data, and what makes for a ""good"" data set?

Learning Objectives

After this unit, students will be able to…

  1. Describe and demonstrate how human experiences get converted into quantifiable metrics (data) for computers.

  2. Identify ways AI algorithms use math to replicate human intelligence.

  3. Debate the social consequences of (1) representing human experiences as data, especially regarding bias and (2) trying to replicate human intelligence with math.

Source: CRAFT - Stanford University

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