# Palimpsest License: Guide for Educators

**Audience:** Teachers, professors, curriculum developers, educational institutions
**Version:** 0.4

---

## Why Education Matters for Palimpsest

The next generation of creators, technologists, lawyers, and citizens will shape how AI interacts with human creativity. Educators have a crucial role in:

- **Teaching AI ethics** alongside technical skills
- **Preparing creators** to protect their work
- **Training future professionals** in consent-based frameworks
- **Research** into licensing, consent, and creative AI
- **Policy development** that shapes the future

---

## Educational Levels

### Primary/Secondary Schools (K-12)

#### Learning Objectives

Students should understand:
- What happens when AI "learns" from creative work
- Why consent matters for using others' creations
- How their own creative work has value
- Basic digital rights and responsibilities

#### Curriculum Integration Points

| Subject | Integration Opportunity |
|---------|------------------------|
| **Art/Music** | Discussion of AI art generators, consent for style learning |
| **English/Media** | AI writing tools, plagiarism vs. training |
| **Computing/ICT** | How AI models work, data ethics |
| **Citizenship/PSHE** | Digital rights, consent culture |
| **Ethics/Philosophy** | Ownership, creativity, identity |

#### Sample Lesson Plan: "Your Art, Your Choice" (Ages 11-14)

```
LESSON PLAN: YOUR ART, YOUR CHOICE
──────────────────────────────────

Duration: 2 x 50 minute sessions

Learning Outcomes:
1. Explain how AI image generators use existing art
2. Discuss why artists might want control over AI use
3. Create and license their own artwork
4. Evaluate ethical implications of AI training

Session 1: How AI Learns

Activity 1 (15 min): Image Generation Demo
- Show AI art generator creating images
- Ask: "Where did the AI learn to do this?"
- Introduce concept of training data

Activity 2 (20 min): The Artist's Perspective
- Watch video/read testimony from artists affected by AI
- Discuss: How would you feel if AI learned your style?
- Small group discussion

Activity 3 (15 min): Introducing Consent
- What is consent? (Connect to existing knowledge)
- Why might creators want to consent (or not)?
- Introduce Palimpsest concept (age-appropriate)

Session 2: Protecting Your Work

Activity 4 (20 min): Create Your Own Art
- Students create original artwork (digital or physical)
- Think about: What makes this yours? What's special about it?

Activity 5 (15 min): Licensing Decisions
- Simplified Palimpsest options:
  □ Anyone can use this for AI
  □ Only some people can use this for AI
  □ No one can use this for AI
- Students choose and explain their choice

Activity 6 (15 min): Class Discussion
- Share decisions and reasoning
- No right/wrong answers
- Discuss: What would make you change your mind?

Assessment:
- Reflection: "What I learned about AI and my art"
- Demonstrate understanding of consent concept
- Articulate own position on AI training use

Resources:
- palimpsestlicense.org/education/k12
- Age-appropriate consent explainer video
- Student reflection template
```

#### Schools Outreach Programme

**Offer to Schools:**
1. **Guest speakers:** Palimpsest representatives visit classrooms
2. **Teacher training:** CPD workshops on AI ethics and licensing
3. **Curriculum resources:** Downloadable lesson plans, activities
4. **Student competitions:** "Design a license badge" contests
5. **School partnerships:** Pilot schools for curriculum development

**Request for Feedback:**
- What questions do students ask?
- What misconceptions exist?
- What age-appropriate language works?
- What activities engage students?

---

### Colleges / Further Education

#### Vocational Integration

| Programme | Integration Point |
|-----------|-------------------|
| **Art & Design** | Portfolio licensing, AI tools ethics |
| **Music Technology** | Sampling, AI composition, rights |
| **Media Production** | AI content, licensing for distribution |
| **Computing/IT** | Ethical AI development, data governance |
| **Business** | IP management, licensing strategy |
| **Law (pre-uni)** | IP fundamentals, emerging issues |

#### Sample Module: "Digital Rights for Creators" (Level 3)

```
MODULE: DIGITAL RIGHTS FOR CREATORS
───────────────────────────────────

Credit Value: 10 credits
Level: 3 (A-level equivalent)
Duration: 60 guided learning hours

Unit 1: Intellectual Property Foundations (15 hours)
- Copyright basics
- Moral rights
- Creative Commons
- Palimpsest License introduction

Unit 2: AI and Creative Work (20 hours)
- How AI systems use creative content
- Training data and consent
- Style, influence, and copying
- Case studies: Artist vs. AI company

Unit 3: Practical Licensing (15 hours)
- Choosing a license for your work
- Implementing Palimpsest metadata
- Consent registry registration
- Building a consent-aware portfolio

Unit 4: Industry Application (10 hours)
- Guest speakers from creative industries
- Industry perspectives on AI licensing
- Career implications of licensing choices
- Professional practice in AI era

Assessment:
- Portfolio with licensing rationale (40%)
- Case study analysis (30%)
- Practical licensing implementation (30%)
```

---

### Universities / Higher Education

#### Departmental Integration

| Department | Research/Teaching Opportunities |
|------------|--------------------------------|
| **Law School** | IP law courses, clinics, research |
| **Computer Science** | AI ethics, responsible ML |
| **Information Studies** | Metadata, digital preservation |
| **Art/Design** | Creator rights, AI tools |
| **Media/Communications** | Platform governance, policy |
| **Philosophy** | AI ethics, ownership, identity |
| **Anthropology** | Cultural property, consent |
| **Psychology** | Consent, trauma, creativity |
| **Economics** | Creative economy, licensing models |
| **Business** | IP strategy, licensing |

#### Research Opportunities

**Suggested Research Questions:**

1. **Legal**
   - How does Palimpsest interact with fair use/fair dealing?
   - Cross-jurisdictional enforcement mechanisms?
   - GDPR/data protection alignment?
   - Smart contract implementation?

2. **Technical**
   - Machine-readable consent verification at scale?
   - Detecting unlicensed use in AI training?
   - Consent propagation in derivative works?
   - Quantum-resistant verification?

3. **Social/Cultural**
   - Creator attitudes to AI licensing?
   - Community consent mechanisms?
   - Cultural variation in consent concepts?
   - Trauma-informed licensing design?

4. **Economic**
   - Impact of AI licensing on creative markets?
   - Valuation of training data consent?
   - Platform economics of consent?
   - Compensation models?

5. **Philosophical**
   - Ownership of style and influence?
   - Consent and autonomy in digital contexts?
   - Emotional lineage as concept?
   - AI moral status and licensing implications?

**Research Support Offered:**

- Access to Palimpsest team for interviews
- Dataset of license adoption (anonymized)
- Collaboration on experimental implementations
- Publication in Palimpsest working papers

#### Sample Course: "AI, Creativity, and Rights" (Graduate Level)

```
COURSE: AI, CREATIVITY, AND RIGHTS
──────────────────────────────────

Credits: 15 ECTS / 3 semester hours
Level: Graduate (Masters/PhD)
Prerequisites: Introduction to IP or AI ethics

Week 1-2: Foundations
- Copyright and creative work
- AI/ML training fundamentals
- The training data problem
- Reading: [foundational papers]

Week 3-4: Current Landscape
- Creative Commons and its limits
- Platform terms of service
- Artist campaigns and litigation
- Guest: Artist affected by AI training

Week 5-6: Palimpsest Framework
- License structure and philosophy
- Emotional lineage concept
- Consent mechanisms
- Comparison with alternatives

Week 7-8: Technical Implementation
- Metadata standards
- Consent registry design
- Verification mechanisms
- Hands-on: Implement Palimpsest metadata

Week 9-10: Legal Analysis
- Jurisdiction and enforcement
- Fair use/fair dealing implications
- International harmonization
- Case study workshop

Week 11-12: Cultural Dimensions
- Indigenous data sovereignty
- Trauma-informed approaches
- Community consent
- Guest: Anthropologist/cultural expert

Week 13-14: Future Directions
- AGI and long-term consent
- Quantum computing implications
- Governance evolution
- Student presentations

Assessment:
- Critical analysis paper (40%)
- Implementation project (30%)
- Class participation (15%)
- Presentation (15%)
```

#### Student Projects

**Suggested Final Projects:**

1. **Law:** Draft model legislation implementing Palimpsest principles
2. **CS:** Build consent verification prototype
3. **iSchool:** Design metadata crosswalk for library systems
4. **Art:** Create work exploring licensing as medium
5. **Anthropology:** Ethnography of creator consent attitudes
6. **Philosophy:** Theoretical analysis of emotional lineage
7. **Economics:** Model consent market dynamics
8. **Interdisciplinary:** Full implementation case study

---

## Solicitation to Universities

### Letter Template for Academic Outreach

```
Dear [Department/Centre Name],

RE: Research Collaboration Invitation - Palimpsest License Project

The Palimpsest License is a novel licensing framework addressing
the intersection of creative work, AI training, and consent. As
[department] engages with [relevant research area], we believe
there may be valuable opportunities for collaboration.

We are seeking:

1. RESEARCH PARTNERSHIPS
   - Joint research projects on [specific topics]
   - Access to your expertise in [field]
   - Potential for funded collaborative work

2. CURRICULUM INTEGRATION
   - Case study inclusion in relevant courses
   - Guest lecture opportunities
   - Student project supervision

3. EXPERT CONSULTATION
   - Advisory input on [specific aspects]
   - Review of our [technical/legal/ethical] approach
   - Feedback from [field] perspective

4. STUDENT ENGAGEMENT
   - Internship/placement opportunities
   - Dissertation/thesis topics
   - Practical implementation projects

We would welcome the opportunity to present the Palimpsest
framework to interested faculty and discuss potential
collaboration.

Please contact: [contact details]

The Palimpsest License Project
```

### Target Departments by University Type

**Research-Intensive Universities:**
- Law: IP law centres, technology law clinics
- CS: AI ethics groups, ML research labs
- Information: Digital preservation, metadata research
- Interdisciplinary: AI ethics centres

**Arts Universities:**
- Fine Art: Creator rights, AI and art
- Design: Digital design, licensing
- Music: Sound/music rights, AI composition
- Media: Platform studies, content governance

**Comprehensive Universities:**
- Library Science: Professional integration
- Education: Teacher training, curriculum
- Business: Creative industries, IP strategy
- Social Science: Cultural studies, psychology

---

## Educational Resources

### Available Materials

| Resource | Level | Format |
|----------|-------|--------|
| "What is Palimpsest?" explainer | All | Video, text |
| K-12 Lesson Plans | K-12 | PDF, editable |
| College Module Guide | FE | PDF |
| Graduate Syllabus | HE | PDF |
| Case Study Collection | HE/Research | Database |
| Implementation Tutorials | Technical | Online |
| Research Bibliography | HE/Research | Zotero |

### Requested Contributions

From educators, we seek:
- **Curriculum feedback:** What works? What's missing?
- **Student perspectives:** What questions do they ask?
- **Assessment ideas:** How to evaluate understanding?
- **Localization:** Adaptations for different contexts
- **Research:** Studies on educational effectiveness

---

## Institutional Adoption

### For Schools

```
SCHOOL ADOPTION PATHWAY
───────────────────────

Step 1: Awareness
- Teacher attends workshop/webinar
- Review curriculum resources
- Discuss with leadership

Step 2: Pilot
- Single class/subject trial
- Use provided resources
- Collect student/teacher feedback

Step 3: Integration
- Add to scheme of work
- Train additional teachers
- Customize for school context

Step 4: Expansion
- Cross-curricular links
- Student-led initiatives
- Parent/community engagement

Step 5: Partnership
- Become pilot school
- Contribute to resource development
- Host outreach events
```

### For Universities

```
UNIVERSITY ADOPTION PATHWAY
───────────────────────────

Step 1: Faculty Interest
- Individual faculty member engages
- Reviews research/teaching fit
- Informal discussions

Step 2: Course Integration
- Single course inclusion
- Guest lecture/module
- Student projects

Step 3: Research Engagement
- Formal research collaboration
- Grant applications
- Publication partnerships

Step 4: Institutional Recognition
- Centre/institute involvement
- Multi-departmental engagement
- Policy engagement

Step 5: Strategic Partnership
- Memorandum of understanding
- Ongoing collaboration
- Joint funding applications
```

---

## Contact for Education

**Education Liaison:** education@palimpsestlicense.org (planned)

**Specific Contacts:**
- K-12 resources: schools@palimpsestlicense.org
- Higher education: universities@palimpsestlicense.org
- Research collaboration: research@palimpsestlicense.org

**Office Hours:** [TBD - regular virtual drop-in for educators]

---

## Case Study: University Integration (Hypothetical)

```
CASE STUDY: INTEGRATION AT [UNIVERSITY]
───────────────────────────────────────

Context:
University with strong law, CS, and arts programmes seeking
to integrate AI ethics across disciplines.

Year 1:
- Law: Palimpsest case study in IP course
- CS: Technical implementation in AI ethics module
- Art: Creator rights workshop

Year 2:
- Interdisciplinary: Joint seminar series
- Research: Pilot study on student creator attitudes
- Student: Palimpsest campus awareness campaign

Year 3:
- Research: Major grant application
- Teaching: Dedicated course launched
- Outreach: Community workshops

Outcomes:
- 3 published papers
- 200+ students engaged
- 1 implementation pilot
- Model for other institutions
```

---

## Document Review Log

| Date | Reviewer | Status | Notes |
|------|----------|--------|-------|
| 2025-12-08 | AI | Current | Initial creation |

**Next Review Due:** 2026-03-08

