Brain DeCoded with CodeX - Mission 4, Objective 5: Ethical Considerations

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Mission 4 · Objective 5 Lesson Plan

Ethical Considerations

Students look at where pattern recognition already runs in the real world, from biometrics to surveillance, and take a position on the privacy and bias questions it raises.

⏱ 40-60 min 🎯 Grades 8-12+ 💻 CodeSpace 📖 Reading & Discussion ⚖️ Ethics
View Lesson Outline
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Overview

Students have now built three pattern detection programs. This objective asks what happens when the same idea runs at scale on real people. There is no code here. It is reading, discussion, and two written responses.

The reading covers three uses students already live with: biometrics that unlock a phone or clear a border, surveillance systems that recognize faces and behavior in public spaces, and data analysis that finds trends across enormous piles of information. Each one comes with its own privacy and bias problems, including the well-documented finding that some biometric systems are less accurate for certain demographic groups.

Students respond to two prompts and create a file in CodeSpace for each one. The point is not to land on a single right answer, it is to make students argue from the reading instead of from a gut reaction.

🎯 Project Goal: Students consider ethical principles of pattern recognition in real-world situations.

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Learning Targets

  • I can explain several ways pattern recognition is used in real-world applications.
  • I can discuss ethical considerations with using pattern recognition in real-world applications.
  • I can discuss bias and privacy issues with pattern recognition used in real-world applications.
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Key Concepts

  • Biometrics use pattern recognition to identify individuals.
  • Pattern recognition can be used in surveillance systems.
  • Data analysis uses pattern recognition to process vast amounts of data, looking for trends.
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Assessment Opportunities

  • Written response reflection for prompt 1.
  • Written response reflection for prompt 2.
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Success Criteria

  • Use examples from the reading material to support key points in a written response
  • Consider ethical principles of pattern recognition use in a written response
  • Discuss pattern recognition bias in a written response
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Digital Resources

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Classroom Materials

  • ▸Laptop/computer with Chrome browser, so students can create the written response files in CodeSpace
  • ▸Optional: additional articles, videos, or other resources to supplement student research
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Extensions & Cross-Curricular

ExtensionHold a class debate on ethical considerations and technology.
ExtensionHave students create a video, web page, poster, or slide deck about ethical considerations and present it to an audience.
Social StudiesSelect a country and examine its society in relation to ethical use of technology. What is accepted there, and what is considered unethical?
HistoryResearch the history of biometrics, data analysis, or surveillance. How has technology changed it?
HealthResearch how technology and pattern recognition have affected the health field, or how they are used to help people live healthy lives.
Lang ArtsStudents write a summary of a topic covered in this objective.
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Vocabulary

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Biometrics:the use of physical or behavioral characteristics to identify individuals.
Surveillance:the monitoring of behavior or activities.
Data Analysis:the process of examining data to extract useful information and make conclusions.
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Standards

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English Language Arts & Literacy

WHST.9-10.2.a-f WHST.11-12.2.a-e

Computer Science

9-12.IC.24 9-12.IC.30

Life Science Connections

HS-LS1-1 HS-LS1-6
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Preparing for the Lesson
  • Read the objective through first and note where the two prompts land, so you can budget writing time against discussion time.
  • Decide how students get the Graphic Organizer. You can print a copy for each student or assign it digitally.
  • Decide how students will submit the written responses. They still need to create both files in CodeSpace to meet the goals, even if the writing itself happens somewhere else.
  • Pull together any supplemental articles or videos you want to add. Nothing extra is required, but current examples make this objective land harder.
  • Set your ground rules for discussion before you start. This is the objective where students bring in strong opinions, and a minute spent on how to disagree well pays for itself.
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Teacher Notes
  • This objective is reading material for students. Feel free to supplement with any additional materials.
  • Students are asked to create two files in CodeSpace for their written responses. Students can complete their responses a different way, but they still need to create both files to meet the goals.
  • There is no code and no CodeX in this objective. Students only need a computer to reach CodeSpace.
  • Students tend to answer these prompts from instinct. Hold them to the success criteria, which ask for examples from the reading, not just an opinion.
  • The bias discussion is the one that connects back to the code. The programs students wrote did exactly what they were told, and a biased system usually does too. That is the point.
  • Extensions and cross-curricular projects are included to enhance the concepts in the objective. You can use the extensions to extend students' learning.
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Lesson Outline

🗣️Warm-up / Hook

Start with the pattern recognition students already carry around.

  • Ask: "How many of you unlocked a phone with your face or a fingerprint today?"
  • Ask: "That is a pattern recognition algorithm making a decision about you. Who has that data, and how long do they keep it?"
Teaching tip: Almost every hand goes up on the first question and almost nobody can answer the second. That gap is the hook, and you do not need to fill it yet.
📖Reading & Discussion

Students work through the three real-world uses.

  1. Students read the objective, individually, in pairs, or as a class.
  2. Take the three uses one at a time: biometrics, surveillance, data analysis. For each, name the benefit first and the risk second.
  3. Stop on bias. Some biometric systems are measurably less accurate for certain demographic groups, which can mean misidentification and discrimination.
  4. Pose the developer question from the reading: what do the people who build these systems owe the people they are used on?
  5. Students capture their thinking on the Graphic Organizer as they go.
Teaching tip: Keep benefit and risk in the same breath for each use. Students who only hear the risks write one-sided responses, and the success criteria ask for something more careful than that.
💻Written Responses

Students create two files in CodeSpace and answer both prompts.

  1. Students create both response files in CodeSpace. This is required to meet the goals, even if they draft their answers somewhere else.
  2. Students respond to prompt 1, then prompt 2, pulling examples from the reading to support their points.
  3. Circulate and check that each response names a specific example, not just a general worry.
Teaching tip: The Graphic Organizer does most of the work here. Students who filled it in during the reading already have their examples and just need to write them up.
✏️Wrap-up & Review

Close by taking a position.

  • Quick stand-up vote: should schools be allowed to use facial recognition? Ask two students on each side to give their reason.
  • Ask: "Is there a use of this technology you would give up your own privacy for?"
  • Preview Objective 6, which returns to how humans acquire language in the first place.
Teaching tip: If the debate extension is on your list, this wrap-up is your sorting hat. Note who argued which side and you have your teams already.
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