Computing · Secondary 3 · Impacts of Computing on Society · Semester 2

AI and Automation: Job Displacement and New Opportunities

Students will discuss the economic impact of AI and automation, considering job losses and the creation of new roles.

• MOE Syllabus Outcomes
• MOE: Ethics and Social Issues - S3

About This Topic

This topic examines how AI and automation reshape the job market, focusing on job displacement in sectors like manufacturing and retail alongside emerging roles in AI maintenance, data ethics, and human-AI collaboration. Students at Secondary 3 analyze real Singapore examples, such as automation in ports or customer service chatbots, to predict transformations and evaluate company ethics in worker transitions. Key questions guide them to hypothesize new jobs like AI trainers or bias auditors.

Aligned with MOE's Ethics and Social Issues standards, the unit fosters critical evaluation of computing's societal impacts. Students weigh economic benefits against social costs, developing skills in ethical reasoning and foresight essential for informed citizenship in a tech-driven economy.

Active learning suits this topic well. Role-plays of ethical dilemmas and collaborative job forecasting exercises make abstract impacts personal and debatable. Students build empathy through peer perspectives, turning predictions into actionable insights while practicing evidence-based arguments.

Key Questions

1. Predict how AI and automation will transform the future job market.
2. Evaluate the ethical responsibilities of companies deploying AI that displaces human workers.
3. Hypothesize new job roles that might emerge due to advancements in AI.

Learning Objectives

• Analyze case studies of Singaporean industries, such as manufacturing or finance, to identify specific jobs at risk of displacement due to AI and automation.
• Evaluate the ethical responsibilities of companies like Grab or DBS when implementing AI-driven customer service that reduces the need for human agents.
• Hypothesize at least three novel job roles that could emerge in Singapore's future economy, directly resulting from advancements in AI technology.
• Compare the potential economic benefits of increased automation with the social costs of job displacement in a specific sector.

Before You Start

Introduction to Artificial Intelligence

Why: Students need a foundational understanding of what AI is and its basic capabilities to discuss its impact on jobs.

Impacts of Computing on Society (Semester 1)

Why: This topic builds on the general understanding of how computing technologies affect daily life and societal structures.

Key Vocabulary

Automation	The use of technology, such as AI and robotics, to perform tasks previously done by humans.
Job Displacement	The loss of employment for workers when their jobs are eliminated due to technological changes or economic shifts.
AI Trainer	A new role focused on teaching and refining AI systems, ensuring they perform tasks accurately and ethically.
Bias Auditor	A professional who examines AI algorithms and data to identify and mitigate unfair biases that could lead to discriminatory outcomes.
Human-AI Collaboration	A work environment where humans and AI systems work together, each contributing their unique strengths to achieve common goals.

Watch Out for These Misconceptions

Common Misconception

AI will eliminate all human jobs completely.

What to Teach Instead

Automation displaces specific tasks but creates demand for oversight and creative roles. Group debates reveal historical precedents like ATMs increasing bank teller jobs, helping students see net job growth patterns through shared evidence.

Common Misconception

Only low-skill jobs face displacement.

What to Teach Instead

AI impacts high-skill fields like radiology or law via pattern recognition. Role-plays of professional scenarios build nuanced views, as students collaborate to identify hybrid human-AI roles requiring advanced judgment.

Common Misconception

New jobs will not need reskilling.

What to Teach Instead

Emerging roles demand digital literacy and adaptability. Brainstorm activities expose this, with peers challenging assumptions and proposing training paths, fostering realistic career planning.

Active Learning Ideas

Debate Carousel: Automation Ethics

Divide class into teams to argue for or against automating a specific job, like warehouse picking. Teams rotate stations to defend, rebut, and refine positions using provided data cards on costs and benefits. Conclude with a class vote and reflection on ethical trade-offs.

45 min·Small Groups

Job Future Mapping: Pairs Brainstorm

Pairs list five current jobs affected by AI, then hypothesize three new roles per job with required skills. Use graphic organizers to connect old to new, sharing via gallery walk. Discuss Singapore-specific examples like in logistics.

30 min·Pairs

Role-Play Simulation: Company Decision

Groups act as company stakeholders deciding on AI deployment: include workers, managers, ethicists. Present scenarios, deliberate responsibilities, and propose retraining plans. Debrief on real-world parallels.

50 min·Small Groups

Jigsaw: Whole Class

Assign expert groups to research AI trends in sectors like healthcare or finance. Regroup to teach peers and co-create a class timeline of job shifts. Vote on most likely future roles.

40 min·Whole Class

Real-World Connections

• Singapore's Changi Airport is implementing automated check-in kiosks and baggage handling systems, impacting roles in passenger services and logistics.
• Financial institutions in Singapore, like OCBC Bank, are using AI-powered chatbots for customer inquiries, potentially reducing the demand for traditional call center agents.
• The manufacturing sector in Singapore, particularly in electronics, is increasingly adopting robotic arms for assembly lines, changing the nature of factory work.

Assessment Ideas

Discussion Prompt

Pose the following question to small groups: 'Imagine a company in Singapore is replacing 20% of its customer service staff with AI. What are the company's ethical obligations to these displaced workers, and what specific support should be offered?' Have groups share their top two obligations and support strategies.

Exit Ticket

Ask students to write down one job they believe is most likely to be automated in Singapore within the next 10 years and one entirely new job role they predict will be created due to AI. For each, they should provide a one-sentence justification.

Quick Check

Present students with a short news clip about automation in a specific Singaporean industry (e.g., food delivery drones). Ask them to identify one potential job that might be displaced and one new skill that workers might need to develop to adapt.

Frequently Asked Questions

How can teachers address ethical responsibilities in AI deployment?

Frame discussions around company duties like fair retraining and transparency. Use case studies from Singapore firms to prompt student evaluations of worker impacts. Role-plays encourage balanced arguments, helping students internalize ethics as proactive choices rather than afterthoughts. This builds moral reasoning tied to real accountability.

What active learning strategies work best for this topic?

Debates, role-plays, and collaborative forecasting engage students directly with job scenarios. These methods personalize economic impacts, spark lively ethical debates, and reveal diverse viewpoints. Students retain more when predicting futures hands-on, applying MOE skills like critical thinking through peer interaction and evidence synthesis.

How to help students predict AI job market changes?

Start with local data on automation trends, then use mapping activities to link current jobs to futures. Encourage hypothesizing roles like AI ethicists via group brainstorming. This scaffolds foresight, connecting predictions to ethical questions and Singapore's smart nation goals for relevant, forward-thinking analysis.

Why focus on both job losses and opportunities?

Balanced views prevent fear or over-optimism, aligning with MOE's societal impact goals. Activities like jigsaws expose dual effects, prompting ethical evaluations. Students gain systems thinking, recognizing reskilling as key to opportunities, preparing them for lifelong adaptability in computing-driven economies.