Computer Science · Grade 10 · Impacts of Computing on Society · Term 3

AI and Automation: Economic and Social Impacts

Discuss the broader economic and social implications of artificial intelligence and increasing automation.

• Ontario Curriculum Expectations
• CS.HS.S.8
• CS.HS.S.9

About This Topic

Students examine how artificial intelligence and automation transform economies and societies. They predict shifts in job markets, where routine tasks in manufacturing, transportation, and services face displacement, while demand grows for roles in AI maintenance, data analysis, and creative problem-solving. Discussions reveal ethical challenges, such as biases in autonomous vehicles or hiring algorithms that perpetuate inequality. Students also evaluate policies needed to guide AI development, like retraining programs and data privacy laws.

This topic connects to Ontario's Computer Science curriculum standards CS.HS.S.8 and CS.HS.S.9 by analyzing computing's societal impacts. It builds skills in critical evaluation, ethical reasoning, and foresight, essential for students navigating Canada's tech-driven economy. Real-world examples, from Toronto's AI hubs to global automation trends, make concepts relevant and spark engagement with local contexts.

Active learning benefits this topic greatly. Simulations of job market scenarios or policy debates allow students to role-play stakeholders, test predictions through group analysis, and refine arguments collaboratively. These approaches turn complex, future-oriented ideas into personal insights, fostering empathy and informed perspectives that lectures alone cannot achieve.

Key Questions

1. Predict the potential impact of AI and automation on future job markets.
2. Analyze the ethical dilemmas surrounding autonomous decision-making systems.
3. Evaluate the role of policy and regulation in guiding the development of AI.

Learning Objectives

• Analyze the potential displacement of routine jobs in manufacturing and transportation sectors due to automation.
• Evaluate the ethical implications of bias in AI-driven hiring algorithms.
• Compare the economic impacts of AI adoption in different Canadian industries, such as finance and healthcare.
• Synthesize arguments for and against government regulation of autonomous decision-making systems.
• Predict emerging job roles created by advancements in AI and data science.

Before You Start

Introduction to Artificial Intelligence Concepts

Why: Students need a basic understanding of what AI is and its common applications before discussing its societal impacts.

Fundamentals of Computing and Data

Why: Understanding how data is processed and how algorithms function is foundational to grasping AI's capabilities and limitations.

Key Vocabulary

Automation	The use of technology, such as AI and robotics, to perform tasks previously done by humans.
Algorithmic Bias	Systematic and repeatable errors in a computer system that create unfair outcomes, such as in AI decision-making processes.
Job Displacement	The loss of employment for workers whose jobs are replaced by technology or automation.
Reskilling	The process of learning new skills to adapt to changing job market demands, often in response to technological advancements.
Autonomous Systems	Technology that can operate and make decisions independently without direct human intervention.

Watch Out for These Misconceptions

Common Misconception

AI will eliminate all human jobs.

What to Teach Instead

AI automates routine tasks but creates demand for oversight, programming, and ethical roles. Group debates expose this balance, as students research data and counter oversimplifications with evidence from Canada's job reports.

Common Misconception

Automation only affects low-skill workers.

What to Teach Instead

White-collar professions like accounting and law face AI disruption too. Case study rotations help students analyze diverse examples, building nuanced views through peer teaching.

Common Misconception

AI ethics are handled by developers alone.

What to Teach Instead

Society-wide policies are crucial for accountability. Role-play simulations let students experience stakeholder conflicts, clarifying the need for collective input.

Active Learning Ideas

Debate Carousel: AI Job Impacts

Divide class into teams to research pro and con arguments on AI displacing jobs. Teams rotate to four stations, debating against opponents and noting key points. Conclude with a whole-class vote and reflection on evidence.

45 min·Small Groups

Jigsaw: Ethical Dilemmas

Assign groups real cases like biased facial recognition or self-driving car decisions. Each group becomes experts, then jigsaws to teach others. Groups create posters summarizing dilemmas and proposed solutions.

50 min·Small Groups

Policy Simulation: Regulating AI

Students role-play as government officials, industry reps, and citizens in a mock hearing on AI regulation. Present positions, negotiate bills, and vote on policies. Debrief on trade-offs.

60 min·Whole Class

Future Jobs Brainstorm: Pairs Prediction

Pairs list 10 jobs at risk from automation and 10 new ones it creates, using online tools for data. Share predictions in a class gallery walk and discuss retraining needs.

30 min·Pairs

Real-World Connections

• Ontario's automotive sector in Windsor is experiencing increased automation in assembly lines, requiring workers to adapt to new roles in robot maintenance and quality control.
• Financial institutions in Toronto are implementing AI-powered chatbots for customer service, impacting the demand for traditional call center positions while creating roles for AI trainers and data analysts.
• The development of self-driving technology by companies like Aurora, with significant research presence in Canada, raises questions about the future of trucking and taxi services.

Assessment Ideas

Discussion Prompt

Pose the question: 'Imagine you are a policymaker in Ontario. What are the top three actions you would recommend to mitigate the negative social impacts of AI and automation on the workforce, and why?' Students should provide specific examples to support their recommendations.

Quick Check

Present students with a scenario describing an AI system (e.g., an AI used for loan applications). Ask them to identify one potential ethical dilemma and one potential economic impact, writing their answers on a sticky note before leaving class.

Exit Ticket

On an index card, have students write: 1. One job they predict will be significantly impacted by AI in the next 10 years. 2. One new job they predict will emerge due to AI. 3. A brief explanation for each prediction.

Frequently Asked Questions

How does AI impact future job markets in Canada?

AI may displace 10-20% of jobs in routine sectors like trucking and retail by 2030, per Canadian reports, but create opportunities in AI ethics, cybersecurity, and green tech. Students analyze Labour Market Information to predict local shifts, emphasizing reskilling programs like Ontario's tech apprenticeships for equitable transitions.

What ethical dilemmas arise from autonomous systems?

Dilemmas include decision-making biases, such as AI prioritizing certain demographics in healthcare or policing. Students evaluate trolley problem variants in groups, weighing utilitarianism against fairness, and propose testing protocols to mitigate risks in real deployments.

How can policy guide AI development responsibly?

Policies like Canada's Directive on Automated Decision-Making ensure transparency and human oversight. Classroom simulations help students draft regulations addressing privacy, bias audits, and job transition funds, balancing innovation with public good.

How can active learning help students understand AI social impacts?

Debates, role-plays, and case studies make abstract impacts tangible. Students actively predict job changes or negotiate policies, collaborating to refine ideas. This builds empathy for affected workers and critical skills for civic engagement, far beyond passive reading.