Essential Course · All Phases

AI Ethics & Responsible Use

AI is powerful — but power requires responsibility. This course equips Filipino educators with the ethical framework, practical policies, and critical thinking skills to use AI safely, fairly, and transparently in their schools.

📌 Who This Is For Any educator using or planning to use AI tools. This course is especially valuable for teachers leading AI adoption, department heads writing guidelines, and administrators setting school policy. We recommend completing AI 101 for Educators first.

What You'll Learn

Redefine academic integrity for the AI era
Protect student data when using AI tools
Recognize and address AI bias
Apply cultural sensitivity to AI outputs
Build a personal responsible AI framework
Lead ethical AI conversations at your school

What You'll Walk Away With

Clear rules for AI use in student work
A student-facing AI disclosure template
A data privacy checklist for teachers
A bias-checking protocol for AI content
Your personal Responsible AI Pledge
Certificate of completion

Lesson 1 of 4

Academic Integrity in the Age of AI

AI didn't create the challenge of academic honesty — but it did make it more complex. Let's build a clear, fair framework that works for both teachers and students.

The New Reality

Students have always had access to "shortcuts" — older siblings' notes, internet copy-paste, paid essay services. AI is different because it generates original-looking content instantly, making traditional detection nearly impossible. The response shouldn't be to ban AI — it should be to redefine what academic integrity means.

⚖️ The Core Principle Academic integrity in the AI era isn't about whether a student used AI. It's about whether the student can demonstrate genuine learning. If a student uses AI to help them understand a concept and then demonstrates that understanding in their own words — that's learning. If a student submits AI output without understanding it — that's not.

The AI Use Spectrum for Students

Not all AI use is the same. Help your students understand where different uses fall on the spectrum:

Level	AI Use	Example	Generally...
Green	AI as a learning tool	Asking AI to explain a concept you don't understand, then writing your answer in your own words	✅ Encouraged
Yellow	AI as a starting point	Using AI to brainstorm ideas or create an outline, then writing the actual work yourself	⚠️ Allowed with disclosure
Orange	AI as a collaborator	Having AI write a draft, then significantly editing and adding your own analysis	⚠️ Depends on assignment
Red	AI as a substitute	Submitting AI-generated work as your own without understanding or modification	❌ Not allowed

Teaching Students to Disclose AI Use

Instead of playing detective, teach students to be transparent. Here's a simple disclosure format students can add to any assignment:

Student AI Disclosure Template AI DISCLOSURE STATEMENT AI Tool Used: [e.g., Claude, ChatGPT, Gemini] How I Used It: [e.g., "I asked the AI to explain photosynthesis in simple terms. I then rewrote the explanation in my own words and added my own examples."] What I Learned: [e.g., "I now understand the difference between the light and dark reactions."] What Is My Own Work: [e.g., "The essay, examples, and conclusion are entirely my own writing."]

Designing AI-Resistant Assessments

Rather than banning AI, design assessments that require genuine human thinking:

AI-Vulnerable Assessment	AI-Resistant Alternative
"Write an essay about Jose Rizal's contribution to Philippine independence"	"Interview a family member about what Rizal means to them. Compare their view with what you've learned in class."
"List 10 causes of pollution"	"Take 5 photos of pollution in your barangay. Explain what's causing each one and propose a realistic solution."
"Summarize Chapter 5"	"Which character in Chapter 5 reminds you of someone in your life? Explain why using specific events from the story."
"Solve these 20 math problems"	"Create a word problem about your family's weekly budget. Solve it and explain your process step by step."

💡 Key Takeaway The best AI-resistant assessments ask students to connect learning to their personal experience, local context, or original analysis. AI can't fake lived experience — only your students have that.

✅ Knowledge Check

Test your understanding before moving on.

1. A student uses AI to understand a difficult concept, then writes their essay in their own words. Where does this fall on the AI Use Spectrum?

Correct! Using AI to understand a concept and then demonstrating that understanding in your own words is exactly how AI should support learning.

This is Green — using AI as a learning tool. The student gained understanding through AI and then demonstrated it independently.

2. What's the most effective way to prevent AI misuse in student work?

Exactly! AI-resistant assessments make the question itself resistant to shortcuts by requiring elements only the student can provide.

The most effective strategy is designing assessments that inherently require personal experience or local context — things AI simply can't provide.

Lesson 2 of 4

Data Privacy & Student Protection

Every time you type into an AI tool, that data goes somewhere. When student information is involved, the stakes are higher than most teachers realize.

What Happens to Your Data?

When you type a prompt into Claude, ChatGPT, or any AI tool, your input is sent to a server for processing. Different AI companies have different policies about how they handle that data — but the safest assumption is: treat everything you type into AI as if it could be seen by someone else.

🔒 The Golden Rule of AI Data Privacy Never enter any information into an AI tool that you wouldn't be comfortable posting on a public bulletin board outside your school.

What You Must NEVER Enter into AI Tools

Category	Specific Examples	Why It's Dangerous
Student Names	Full names, nicknames linked to real identities	Creates a permanent record linking a student to potentially sensitive context
Student IDs	LRN (Learner Reference Numbers), school ID numbers	Can be used for identity fraud or unauthorized access to records
Academic Records	Specific grades, test scores, class rankings	Violates student and parent trust; may violate Data Privacy Act of 2012
Personal Information	Home addresses, phone numbers, parent names	Exposes families to potential targeting or harassment
Health & Behavioral Data	Medical conditions, behavioral incidents, SPED records	Extremely sensitive; protected under multiple laws
Photos of Students	Any image with identifiable students	Can be misused; violates minor protection standards

The Anonymization Method

You can still use AI for student-related tasks — you just need to anonymize first:

❌ Wrong Way

"Write a report card comment for Maria Santos. She got 85 in Math, 78 in Science, and has been absent 12 times this quarter due to a family situation."

✅ Right Way

"Write a report card comment for a Grade 5 student who scored well in Math (mid-80s), is developing in Science (high 70s), and has had several absences this quarter. Keep the tone encouraging and suggest strategies for improvement."

The Philippine Legal Context

The Philippines' Data Privacy Act of 2012 (Republic Act No. 10173) applies to how schools handle student data, including when using AI tools. Key provisions educators should know:

Principle	What It Means for AI Use
Consent	Parents/guardians should be informed if student-related data is processed through external tools
Proportionality	Only collect and process the minimum data needed for the purpose
Transparency	Your school should disclose what AI tools are used and how data is handled
Data Minimization	Use anonymized or aggregated data whenever possible — don't include details you don't need

💡 Key Takeaway Data privacy isn't about fear — it's about professionalism. Just as doctors protect patient records and lawyers protect client information, teachers must protect student data. Anonymization makes AI just as useful while keeping students safe.

✅ Knowledge Check

Test your understanding before moving on.

1. A teacher wants AI to help write report card comments. What's the correct approach?

Right! Anonymization lets you benefit from AI assistance while protecting the student's identity and data.

The correct approach is anonymization — describe the student's performance generally without any identifying information.

2. Which Philippine law governs how schools should handle student data?

Correct! The Data Privacy Act of 2012 establishes principles of consent, proportionality, and transparency that apply to AI use in schools.

The Data Privacy Act of 2012 (RA 10173) is the primary law governing personal data processing in the Philippines, including in educational settings.

Lesson 3 of 4

Bias, Fairness & Cultural Sensitivity

AI was trained mostly on English-language, Western-centric content. This means its outputs can carry biases that Filipino educators must learn to recognize and correct.

Where AI Bias Comes From

AI learns from the internet — which over-represents certain perspectives and under-represents others. This creates three types of bias Filipino teachers commonly encounter:

Bias Type	What It Looks Like	Example in Philippine Context
Cultural Bias	AI defaults to Western norms, holidays, food, and references	Generating a story about "Thanksgiving dinner" instead of Noche Buena when asked for a holiday-themed lesson
Language Bias	AI favors English expressions and may produce awkward Filipino translations	Translating idioms literally ("it's raining cats and dogs") instead of using Filipino equivalents ("bumubuhos ang ulan")
Representation Bias	AI generates content that doesn't reflect the diversity of your students	Creating math word problems with names like "John and Sarah" instead of "Juan and Maria" or names from Mindanao

⚖️ Why This Matters When students see their culture, language, and experiences reflected in learning materials, they engage more deeply. When AI produces content that feels foreign or excludes their reality, it sends a subtle message that their world doesn't matter. As the teacher, you are the cultural filter between AI and your students.

The FILTER Protocol for AI Bias

Before using any AI-generated content, run it through this mental checklist:

Letter	Check	Ask Yourself
F	Fairness	Does this content treat all groups fairly? Are any groups stereotyped or excluded?
I	Inclusion	Do the examples, names, and scenarios reflect my students' diverse backgrounds?
L	Local Relevance	Are the references, settings, and contexts Filipino rather than Western?
T	Tone	Is the tone appropriate and respectful? Does it avoid condescension or stereotyping?
E	Equity	Does this content work for students from different socioeconomic backgrounds?
R	Representation	Can my students see themselves in this content? Are there role models that look like them?

Fixing Biased AI Outputs

When you spot bias, use follow-up prompts to fix it:

🔧 Bias-Correcting Prompts

"Replace all Western names and settings with Filipino ones." — The simplest and most common fix.

"This example assumes access to a computer at home. Rewrite it for students who only have a smartphone or no device." — Addresses socioeconomic bias.

"The story only features characters from Manila. Include characters from Visayas and Mindanao." — Corrects geographic bias.

"Rewrite this to include examples from Indigenous peoples' contributions to Philippine history." — Addresses representation gaps.

💡 Key Takeaway AI bias isn't a reason to avoid AI — it's a reason to use it critically. Every time you catch and correct a bias in AI output, you're modeling critical thinking for your students. That's one of the most valuable skills you can teach in the AI era.

✅ Knowledge Check

Test your understanding before moving on.

1. An AI-generated story for your class uses "Thanksgiving" as the holiday setting. What type of bias is this?

Right! This is cultural bias — the AI defaulted to a Western holiday instead of a locally relevant one like Christmas/Noche Buena or Flores de Mayo.

This is cultural bias — AI defaulting to Western cultural references instead of locally relevant Filipino ones.

2. In the FILTER protocol, what does the "E" stand for?

Correct! Equity checks whether the content works for students from different socioeconomic backgrounds — not just those with the most resources.

The "E" stands for Equity — ensuring content works fairly for students from all socioeconomic backgrounds.

Lesson 4 of 4

Your Responsible AI Framework

Bring everything together into a personal framework you can use every day and share with your school community.

The CARE Framework for Ethical AI Use

Remember four letters — CARE — and you'll navigate nearly every AI ethics question you encounter:

Principle	What It Means	In Practice
C — Cite	Always acknowledge AI use transparently	Teachers disclose AI assistance in lesson plans. Students use the AI Disclosure Template for assignments.
A — Anonymize	Never enter identifiable student data into AI	Use "Student A" or general descriptions. No names, IDs, specific grades, or personal details.
R — Review	Always check AI output before it reaches students	Apply the 5A Framework (Accuracy, Alignment, Appropriateness, Age-suitability, Adaptation) and the FILTER Protocol.
E — Empower	Use AI to enhance human capability, not replace it	AI drafts, you refine. AI suggests, you decide. Students learn with AI, not from AI alone.

⚖️ The CARE Pledge

"As an educator, I commit to using AI with CARE: I will Cite my AI use honestly, Anonymize all student data, Review every AI output before using it, and Empower my students to learn with AI rather than depend on it. I will lead by example and help my school community navigate AI responsibly."

Common Ethical Dilemmas — Resolved

Here's how CARE helps you navigate real situations:

Scenario 1: A parent asks if you use AI in your teaching

CARE response (Cite): "Yes, I use AI tools to help draft lesson plans and create activities. I always review and customize everything for our class. AI helps me save time on preparation so I can spend more time actually teaching your child."

Scenario 2: A colleague copies an AI-generated lesson plan word-for-word without checking it

CARE response (Review): Gently share the 5A Framework. "I've found AI sometimes gets MELC codes wrong or includes examples that don't fit our students. I always do a 5-minute check — want me to show you how?"

Scenario 3: A student submits a clearly AI-generated essay

CARE response (Empower): Instead of just punishing, use it as a teaching moment. "I can tell this wasn't written by you. Let's talk about how you can use AI to help you understand the topic, and then write your own response. That's what real learning looks like."

Scenario 4: Your principal asks you to enter student performance data into AI for analysis

CARE response (Anonymize): "I'd be happy to use AI for analysis, but let me anonymize the data first. I'll remove names and IDs and use codes instead. Same insights, zero privacy risk."

Leading Ethical AI Conversations

As someone who has now completed this course, you're positioned to lead conversations about AI ethics in your school. Here are three things you can do this week:

🤝 Three Actions for This Week

1. Share the CARE framework with one colleague. It takes 2 minutes to explain and gives them an instant ethical compass.

2. Introduce the AI Disclosure Template to your students. Have them practice using it on a low-stakes assignment. Normalize transparency.

3. Start one conversation with a parent, fellow teacher, or administrator about your school's AI approach. You don't need all the answers — just starting the conversation matters.

Your Continuing Journey

Next Course	Best If...
AI-Powered Lesson Planning	You want to apply ethical AI use to practical lesson creation
Building AI-Ready Schools	You want to lead school-wide AI ethics policy and training
AI for School Administration	You handle admin tasks and want to use AI safely for reports and communications

💡 Final Thought Ethics isn't a lesson you teach once — it's a practice you model every day. Every time you cite your AI use, protect a student's data, catch a bias, or design an assessment that requires real thinking, you're showing your students and colleagues what responsible AI use looks like. That example is more powerful than any policy document.

✅ Final Knowledge Check

Last check before your certificate!

1. What does the "A" in the CARE framework stand for?

Correct! Anonymize means protecting student privacy by never entering names, IDs, specific grades, or personal details into AI tools.

The "A" stands for Anonymize — the critical practice of never entering identifiable student data into any AI tool.

2. A student submits an AI-generated essay. What's the best response?

Exactly! The CARE framework's "Empower" principle means helping students learn with AI rather than just punishing misuse. Teaching the right approach is more effective than punishment alone.

The best response follows the "Empower" principle — use it as a teaching moment to show the student how to use AI as a learning tool, then demonstrate understanding through their own work.

Welcome to Kenzo AI

AI Ethics & Responsible Use

What You'll Learn

What You'll Walk Away With

Academic Integrity in the Age of AI

The New Reality

The AI Use Spectrum for Students

Teaching Students to Disclose AI Use

Designing AI-Resistant Assessments

✅ Knowledge Check

Data Privacy & Student Protection

What Happens to Your Data?

What You Must NEVER Enter into AI Tools

The Anonymization Method

❌ Wrong Way

✅ Right Way

The Philippine Legal Context

✅ Knowledge Check

Bias, Fairness & Cultural Sensitivity

Where AI Bias Comes From

The FILTER Protocol for AI Bias

Fixing Biased AI Outputs

🔧 Bias-Correcting Prompts

✅ Knowledge Check

Your Responsible AI Framework

The CARE Framework for Ethical AI Use

Common Ethical Dilemmas — Resolved

Scenario 1: A parent asks if you use AI in your teaching

Scenario 2: A colleague copies an AI-generated lesson plan word-for-word without checking it

Scenario 3: A student submits a clearly AI-generated essay

Scenario 4: Your principal asks you to enter student performance data into AI for analysis

Leading Ethical AI Conversations

🤝 Three Actions for This Week

Your Continuing Journey

✅ Final Knowledge Check

🎉 Course Complete!

Certificate of Completion