AI Ethics DBQ | Facial Recognition & Algorithmic Bias Primary Sources

AI Ethics: Facial Recognition DBQ primary-source analysis — Response Resources

A complete document-based question (DBQ) packet on artificial intelligence and fairness, built around one arguable question: Should facial recognition technology be used if it is not equally accurate for everyone?

  • One compelling central question with a short context primer

  • 4-6 curated primary sources (document excerpts, a political cartoon or image, a data table)

  • Scaffolded document-analysis questions: sourcing, context, and corroboration

  • An evidence-based writing prompt with a scoring rubric

  • Complete answer key + teacher key, and a standards page (CCSS Reading in History)

  • Print-first PDF, US Letter, low-ink, two-sided printable; Grades 6-12

Preview page of the AI Ethics: Facial Recognition DBQ

A print-first primary-source analysis resource from Response Resources.

Pairs perfectly with our NOVA: A.I. Revolution video worksheet.