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Ethics in Technology

Social Studies • 85 • 30 students • Created with AI following Aligned with Common Core State Standards

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Social Studies
85
30 students
19 October 2025

Teaching Instructions

This is lesson 13 of 16 in the unit "Ethics in Society". Lesson Title: Ethics in Technology: The Digital Age Lesson Description: Discuss the ethical implications of technology, including privacy, surveillance, and artificial intelligence. Explore how technology challenges traditional ethical frameworks.

Grade Level: 12th Grade

Unit: Ethics in Society (Lesson 13 of 16)
Duration: 85 minutes
Class Size: 30 students
Subject: Social Studies


Lesson Overview

Students will critically analyze how emerging technologies challenge traditional ethical frameworks. This lesson specifically focuses on ethical challenges in digital privacy, surveillance, and the use of artificial intelligence (AI). Students will engage in reflective discussions, analyze real-world case studies, and collaboratively design ethical guidelines for technology use in society.


Common Core State Standards (CCSS) Alignment

Reading Informational Text (RH)

  • RH.11-12.1: Cite specific textual evidence to support analysis of primary and secondary sources, connecting insights to reflections on the topic.
  • RH.11-12.2: Determine the central ideas or information of a primary or secondary source and analyze their development over the course of the text.
  • RH.11-12.9: Integrate information from diverse sources, both primary and secondary, into a coherent understanding of an idea, theme, or event.

Speaking & Listening (SL)

  • SL.11-12.1: Initiate and participate effectively in a range of collaborative discussions, building on others' ideas and expressing their own clearly and persuasively.
  • SL.11-12.4: Present information, findings, and supporting evidence clearly, concisely, and logically.

Writing (WHST)

  • WHST.11-12.1: Write arguments focused on discipline-specific content supporting claims with valid reasoning and evidence.
  • WHST.11-12.9: Draw evidence from informational texts to support analysis, reflection, and research.

Learning Objectives

By the end of this lesson, students will be able to:

  • Analyze the ethical implications of technology related to privacy, surveillance, and AI using critical thinking. (RH.11-12.1, RH.11-12.2)
  • Discuss how technology disrupts traditional ethical frameworks and propose solutions for managing those disruptions through collaborative dialogue. (SL.11-12.1)
  • Create a concise written argument addressing a key ethical challenge in technology, supported by evidence from case studies. (WHST.11-12.1, WHST.11-12.9)

Materials Needed

  • Projector and laptop for multimedia presentation
  • Handouts with case studies and ethical dilemma prompts (printed)
  • Student notebooks or digital devices for note-taking and writing
  • Chart paper and markers for group work
  • Digital Timer

Lesson Procedure

1. Introduction/Hook (10 minutes)

  • Begin with an engaging question projected on the board: “Is privacy dead in the digital age?”
  • Use a 1-minute AI-generated video clip illustrating modern technology's reach into everyday life (surveillance cameras, social media, AI assistants).
  • Brief Think-Pair-Share: Students share quick thoughts on whether technology is helping or hurting ethical behavior in society.
  • Facilitate a brief whole-class discussion linking responses to the idea of ethical challenges posed by technology.

2. Mini-Lecture & Guided Discussion (15 minutes)

  • Present an overview defining key ethical challenges: privacy, surveillance, AI bias, and data security. Include historical ethical frameworks (utilitarianism, deontology) and how tech questions these philosophies.
  • Display key terms and examples visually using infographics (e.g., controversies about AI facial recognition, data breaches).
  • Prompt reflection: How do traditional ethical models apply—or not—to new tech dilemmas?
  • Ask students to write a 3-4 sentence response in their notebooks.

3. Case Study Analysis (20 minutes)

  • Distribute 3 different case studies:
    1. Government surveillance and citizen privacy (e.g., NSA programs)
    2. Ethical concerns with AI recruitment bias
    3. Data privacy and social media platforms
  • Divide class into 6 groups of 5 students; each group assigned one case or splits into pairs within their group.
  • Students analyze their case guided by prompt questions:
    • What are the ethical concerns?
    • How does technology challenge traditional ethical thinking?
    • What stakeholders are affected?
    • Propose an ethical guideline or solution.
  • Each group creates a quick chart or poster summarizing their analysis.

4. Group Presentations & Peer Discussion (20 minutes)

  • Groups present their case summaries in 3-minute mini-presentations.
  • After each presentation, allow 2 minutes of questions and challenges from peers.
  • Encourage respectful debate on proposed ethical guidelines, asking:
    • “What could be unintended consequences of these solutions?”
    • “How might cultural values influence ethical decisions in tech?”

5. Written Reflection & Argument (15 minutes)

  • Students individually write a brief argumentative paragraph addressing:
    “Choose one ethical challenge in technology discussed today. Argue whether traditional ethical frameworks are sufficient to address it and propose an alternative or modification that fits the digital age.”
  • Students must use evidence from at least one case study or lecture point.
  • Encourage clarity of reasoning, citation of evidence, and complete sentences.

6. Closing & Exit Ticket (5 minutes)

  • Exit Ticket prompt: Write one new insight learned today and one question you still have about ethics in technology.
  • Collect tickets to inform future adjustment for the next lessons in the unit.

Assessment Methods

  • Formative: Participation in discussions, quality of group presentations, and completion of case study charts.
  • Summative: Written argumentative paragraph assessed for clear argumentation, use of evidence, and alignment with ethical concepts.
  • Exit tickets for gauging individualized understanding and lingering questions.

Differentiation & Extension

  • For English Language Learners: Provide glossaries of ethical and technological terms, use visuals, and allow use of bilingual dictionaries for writing.
  • For Advanced Students: Encourage exploration of current news articles on AI ethics or digital surveillance; suggest additional research on emerging frameworks like “digital Kantianism.”
  • For students with IEPs: Provide graphic organizers to scaffold case study analysis and support during presentations.

Teacher Reflection Points

  • Did students connect ethical theory to technology well?
  • Was group discussion balanced with participation from all students?
  • How effectively did students apply traditional ethics to digital dilemmas?
  • Adjust lesson delivery or materials for students struggling with abstract ethical reasoning.

Tips for ‘Wowing’ Teachers with AI Integration

  • Use AI-generated multimedia (videos, infographics) to vividly illustrate abstract ethics concepts.
  • Invite students to consider AI as both a topic and a collaborator—perhaps writing ethical guidelines assisted by AI tools as homework or extension work.
  • Introduce a brief AI chat-based debate or simulation role-play for next lessons to deepen immersive learning.

This carefully crafted lesson plan merges rigorous Common Core State Standards with innovative strategies for tackling the ethics of emerging technology — designed for deep, age-appropriate critical thinking and collaboration among seniors in high school.

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