AI & Ethics Critical Report 2025
Education Policy · June 2025
Executive Summary
Integration of Artificial Intelligence into education presents new opportunities for Personalized Learning and Accessibility, but raises challenges around Academic Integrity, Equity, and Data Privacy.
Key Insights
- Generative AI intensifies academic integrity concerns
- Digital divide threatens global equity in education
- Corporate control raises data privacy issues
Critical Questions
- How do we balance AI’s potential with ethical safeguards?
- What role should educators play in an AI-integrated classroom?
Transformative Opportunities & Challenges
Opportunities:
- Personalized pathways for diverse needs
- Accessibility for students with disabilities
- Reduced educator workload
- Global access to educational resources
Challenges:
- Academic integrity and originality
- Algorithmic bias & discrimination
- Job displacement for educators
- Data privacy and corporate control
Core Ethical Issues
| Issue | Key Challenges | Potential Solutions |
|---|---|---|
| Job Loss & Role | Displacement, de-professionalization | Focus on human skills, professional dev. |
| Academic Integrity | AI-assisted plagiarism, blurred authorship | Clear policies, AI literacy training |
| Equity & Access | Digital divide, cultural relevance | Local capacity, context solutions |
Full Report: Historical Evolution, Frameworks & Case Studies
Historical Evolution
- 1970s: Foundations (SCHOLAR)
- 2000s: Human-centric AI movement
- 2020s: Generative AI, ethics debates
UDL & Global Frameworks
- Multiple means of engagement, representation, and action
- Context-specific, culturally relevant AI
Philosophical Insights
- Russell: AI should support intellectual pursuits
- Harari: Emphasize agency, emotional intelligence
- bell hooks: Empower learners, challenge bias
Recommendations
- Develop adaptable ethical guidelines
- Foster AI literacy for all
- Integrate UDL in AI tool design
- Robust oversight for AI in education