CareerComms Classroom

Nothing Is Neutral.

Question it. Weigh it. Decide.

This is not a hype session or a doom sermon. You take real technologies apart with a set of analytical frameworks, then design and defend a society you would actually want, in front of the room.

Technology and AI: Utopia or Dystopia?

See the Syllabus ↓ Access Workbook →

Course Structure: Analyze, then Design

The first half takes real technologies apart. A midterm marks the checkpoint. The second half turns analysis into design, a future society you build with your group and defend under questions.

First Half · Classes 1 to 7

Analyze

Promise and peril, side by side.

From technology in daily life to the Vulnerable World Hypothesis: persuasion and deepfakes, innovation and surveillance, work and inequality. You give your first presentation in Class 5.

Midterm · Class 8

Checkpoint

Prove you understand the ideas.

A closed book midterm covering the first half, the big ideas, not trivia. It is your checkpoint before the course turns creative and collaborative.

Second Half · Classes 9 to 15

Design

From critic to architect.

AI in education, health, the arts, and digital policy. You reflect on your own values, then design a future society with your group and defend its trade offs in a final capstone.

Assignments & Deliverables

Five graded pieces across the semester, matched to the syllabus. Two are presentations, one is the midterm, the rest is your writing and your engagement in the room. Open each handout for the full brief and rubric.

🎤 Presentation 1 (Pres. #1)

20%

Technology in your major, pairs, 5 to 7 min PPT
What it is, applications, challenges, ethical risk
Delivery graded individually · /35 each
Due Class 5

Open Presentation 1 handout →

📊 Midterm Exam

20%

Closed book · Class 8
Multiple choice, short answer, analytical
Covers Classes 1 to 8, incl. the Vulnerable World Hypothesis
Your checkpoint into the second half

See the syllabus →

✍️ Individual Reflection Paper

15%

Designing a utopian society · 1 to 1.5 pages
Three societal aspects: value, technology, trade off, risk
AI Use & Decision Statement required
Due around Class 11

Open Reflection Paper handout →

🏛️ Final Capstone (Pres. #2)

25%

Group presentation · 12 to 15 minutes
Design & defend a future society
Each member covers two aspects; one rejected technology
Q&A defense · Classes 14 to 16

Open Capstone handout →

📓 Attendance & Participation

20%

Engage in English, debates, peer review, discussion
Homework: LMS posts, case responses, prep
Attend at least 2/3 of classes to pass
Book, laptop, and a pen every class

See the syllabus →

The Tools You'll Think With

Judgement about technology is learnable. These are the frameworks the course puts to work on real systems, from AI in hiring and healthcare to surveillance and the arts.

Framework	The question it forces you to answer
White · Gray · Black Ball	The Vulnerable World Hypothesis: is this a technology a civilisation can safely handle, or one it cannot put back?
Narrow · AGI · Super AI	What does "AI" actually mean here, and how does each level of capability change the stakes?
Promise & Peril	Every technology's realistic benefit and its unintended consequence, named side by side.
Trade offs & Constraints	What does a choice give, what does it cost, and who carries the cost?
Stakeholders	Who benefits from an innovation, and who is left behind?
Ethical Reasoning	You are judged on how you reason about a technology, not on reaching the "right" answer.
AI Use & Decision Statement	Transparency: whether AI was used, how, why it supported learning, and what judgement stayed human.

What You'll Produce

A portfolio of analysis, writing, and design, evidence that you can think about technology, not just use it.

🎤A Technology Presentation

📊A Midterm Analysis

✍️A Reflection Paper

🏛️A Capstone Society Design

🗣️A Live Q&A Defense

🤝An AI Use Statement

"The interesting question was never 'is this technology good or bad?' It's good for whom, at whose cost, on whose timeline, and who gets to decide."

, Matthew Clement

How You're Graded

Weights follow the official course syllabus and total 100%. AI use is evaluated on reasoning and responsibility, every major assignment includes an AI Use and Decision Statement.

Component	Weight	Distribution
Final Capstone Project (Presentation #2)	25%
Attendance & Participation	20%
Presentation 1 (Presentation #1)	20%
Midterm Exam	20%
Individual Reflection Paper	15%

15 Class Semester Schedule

Class by class topics and milestones, from the official course syllabus. The schedule may shift for holidays or university events.

Assignments ↑Course materials →Open the Workbook →

First Half · Analyze, Classes 1 to 7

1Class

Introduction to Technology

Course purpose and expectations. Icebreaker: technology in daily life. Key terms, technology, AI, utopia, dystopia. Group activity: AI Aftermath Scenarios.

2Class

Types of Technology

Ethical risk and scope. Technology timelines. Narrow AI vs AGI vs Super AI. The Vulnerable World Hypothesis.

3Class

Technology & Human Behavior

Persuasion and influence. Case studies: ads, algorithms, deepfakes. White, gray, and black ball analysis. Structured debate.

4Class

Topic Selection & Workshop

Finalise your technology choice, research basics, peer and instructor feedback. Prepare Presentation 1.

5Class

Individual Presentations

Student videos or live presentations, with Q&A and guided peer feedback. Presentation 1 (20%).

6Class

Innovation & Surveillance

Privacy and ethical failure. Digital footprint activity. Facial recognition case. Ethical Failure Analysis (ungraded).

7Class

AI in the Workforce

Jobs and inequality. Case studies: manufacturing, healthcare, the arts. Debate. LMS reflection.

Midterm · Checkpoint, Class 8

8Class

Midterm Exam

Assessment checkpoint. Closed book exam covering Classes 1 to 8, including the Vulnerable World Hypothesis and the growing role of AI. Midterm (20%).

Second Half · Design, Classes 9 to 15

9Class

AI & Education

Bias and accountability. Ethics board activity. Biased hiring case. Group discussion.

10Class

Utopia Workshop

Reflection skills. Reflection Skills Workshop; brainstorm utopian visions. Reflection Paper introduced.

11Class

AI & Health

Medicine, wellbeing, and human risk. Case studies: AI diagnostics, wearables, mental health apps, algorithmic triage; trust, bias, data privacy. Reflection Paper due (15%).

12Class

AI & the Arts

Creativity and authorship. Case study: AI training lawsuits. Discussion on originality. LMS post.

13Class

Digital Policy

Governance and regulation. Overview of global AI policies. Group policy proposals.

14Class

Capstone Workshop

Group planning. Group formation, role assignment, instructor coaching, draft feedback.

15Class

Capstone Presentations & Reflection

Group presentations, ethical defense, and Q&A. Course reflection; optional Personal AI Framework. Final Capstone (25%).

Instructor

Matthew Clement

Associate Professor · Office #202 H.I.T Building

Matthew Clement teaches Technology & AI and Multimedia Marketing in Seoul. With almost 25 years of teaching, and work spanning academic writing, digital publishing, and communication coaching, he built this course to train students to critically evaluate technology, not just use it. His classes run on real systems, from AI in hiring and healthcare to surveillance and the arts, and end with a future society that students design and defend, so they leave able to weigh promise against peril and take a position they can stand behind.