Automation, AI, and the Future of Work

This topic asks students to consider how legal choices shape technology’s future. Active learning works because students must compare abstract licenses, debate real stakes, and analyze visible artifacts. These tasks turn abstract rights into concrete decisions that mirror how professionals actually navigate IP and open source every day.

• 12th Grade
• Computer Science
• 3 activities
• 40 min–45 min

Learning Objectives

1. Analyze the impact of automation and AI on job displacement and creation across various industries.
2. Evaluate the ethical considerations of using AI and robotics in the workplace, including potential biases and societal effects.
3. Compare the skill sets required for future workforces with those valued in traditional labor markets.
4. Propose solutions for mitigating the negative consequences of automation on employment and income inequality.
5. Synthesize research findings to predict future trends in the labor market influenced by technological advancements.

Inquiry Circle

⏱ 40 min·Small Groups

Inquiry Circle: The License Match-Up

Provide groups with several software projects and a list of licenses. Students must determine which license is best for each project based on the creator's goals (e.g., 'I want everyone to use it, but they must share their changes' vs. 'I want to sell this and keep the code secret').

Prepare & details

What new career paths are created when traditional jobs are automated?

Facilitation Tip: In The License Match-Up, assign mixed teams so that students who already recognize MIT or GPL can coach peers who know only trademarks or patents.

Setup: Groups at tables with access to source materials

Materials: Source material collection, Inquiry cycle worksheet, Question generation protocol, Findings presentation template

• Analyze
• Evaluate
• Create
• Self-Management
• Self-Awareness

Formal Debate

⏱ 45 min·Whole Class

Formal Debate: The Ethics of 'Copy-Paste'

Students debate a scenario where a developer uses a small piece of open-source code in a billion-dollar commercial product without proper attribution. They must argue the case from the perspective of the original creator and the company's legal team.

Prepare & details

Should there be a tax on robots to fund social safety nets for displaced workers?

Facilitation Tip: When running The Ethics of 'Copy-Paste', give each side a 3-minute lightning speech, then flip roles to press for counterarguments.

Setup: Two teams facing each other, audience seating for the rest

Materials: Debate proposition card, Research brief for each side, Judging rubric for audience, Timer

• Analyze
• Evaluate
• Create
• Self-Management
• Decision-Making

Gallery Walk

⏱ 45 min·Individual

Gallery Walk: Open Source Success Stories

Students research a major open-source project (like Linux, Android, or Wikipedia) and create a poster showing how it was built and who owns it. Peers walk through the gallery to identify how these projects compete with proprietary giants like Microsoft or Apple.

Prepare & details

Explain how the shift toward automation changes the skills required for the next generation workforce.

Facilitation Tip: During the Gallery Walk, station a large sheet for each success story so students can post sticky notes with specific evidence they found compelling.

Setup: Wall space or tables arranged around room perimeter

Materials: Large paper/poster boards, Markers, Sticky notes for feedback

• Understand
• Apply
• Analyze
• Create
• Relationship Skills
• Social Awareness

Teaching This Topic

Teachers should model skepticism toward the word ‘free’ by showing Red Hat’s annual reports and contrasting them with a proprietary vendor’s price list. Avoid overloading students with all license clauses at once; instead, let them discover the key differences through structured comparison. Research shows that when students debate real cases—like a student project accidentally violating GPL—they remember the clause far longer than if they merely read it.

What to Expect

By the end, students should clearly distinguish proprietary from open-source licenses, justify their own ethical stance on reuse, and cite evidence from case studies. Success looks like reasoned arguments, correctly matched licenses, and accurate descriptions of how open-source projects sustain themselves financially.

Watch Out for These Misconceptions

Common Misconception

During The License Match-Up, watch for students who assume all open-source licenses are the same.

What to Teach Instead

Direct teams to examine the actual text of MIT, GPL, and Creative Commons licenses in the handout, then circle the clauses that require source code release or allow proprietary reuse.

Common Misconception

During The Ethics of 'Copy-Paste', watch for students who claim unlicensed code is automatically public domain.

What to Teach Instead

Pause the debate and have students open GitHub repositories to locate the LICENSE or COPYRIGHT file in a repo they selected; ask them to read aloud the section that states what permissions the author grants.

Assessment Ideas

Discussion Prompt

After The Ethics of 'Copy-Paste', pose the robot-tax question and collect quick anonymous votes on a show of hands, then have students justify their stance with at least one industry example from the debate.

Quick Check

After The License Match-Up, give students a one-page excerpt with three code snippets and ask them to circle which snippets they may legally reuse without permission, citing the matched license.

Peer Assessment

During the Gallery Walk, have peers score each success story on a rubric for clear evidence of open-source impact and financial sustainability; collect rubrics and tally scores to identify the three strongest cases for class discussion.

Extensions & Scaffolding

• Challenge early finishers to draft a modified MIT license that adds a clause requiring attribution in derivative mobile apps.
• Scaffolding for struggling students: Provide a Venn diagram template with three circles labeled Copyright, Patent, Trademark so they can sort license terms into the correct category.
• Deeper exploration: Ask students to trace the origin of the Linux kernel and create a timeline showing major contributors and license changes over 20 years.

Key Vocabulary

Automation	The use of technology to perform tasks with minimal human intervention. This can range from simple mechanical processes to complex AI-driven systems.
Artificial Intelligence (AI)	The simulation of human intelligence processes by machines, especially computer systems. This includes learning, problem-solving, and decision-making.
Job Displacement	The loss of employment for workers when their jobs are eliminated due to technological changes, economic shifts, or other factors.
Reskilling	The process of learning new skills to adapt to a changing job market. This is crucial for workers whose current roles are at risk of automation.
Universal Basic Income (UBI)	A proposed system where all citizens of a country regularly receive an unconditional sum of money from the government. It is often discussed as a response to widespread automation.