01
Beginner
Ethics, Privacy, and Bias — A Starter Guide for Educators
This section identifies key ethical risks in AI-enabled teaching, including bias, privacy concerns, opacity, and overreliance on algorithmic systems.
AI Ethics and Responsibility
Exploring ethical considerations and responsible AI practices in education.
5 lessons
16m estimated
Lesson Content
02
Beginner
Five Core Principles for Ethical AI in Education
This section establishes a framework of five foundational principles for ethical artificial intelligence integration in educational practice: transparency, fairness, accountability, data sovereignty, and learner agency
03
Beginner
Real-World Ethical Dilemmas in Education
This section examines ethical challenges in AI-enabled education through three applied scenarios addressing student use of generative AI, algorithmic bias in content generation, and third-party data privacy concerns.
04
Beginner
Practical Prompts + Good Practice
This section provides structured reflection prompts and an AI Ethics Checklist for educators and learners, addressing transparency, data governance, and cultural representation in AI-enabled teaching.
05
Beginner
Reflection — Walking the Talk
This section emphasises kaitiakitanga through reflective practice and institutional advocacy. It positions educators as models of ethical AI use, responsible for creating spaces where learners critically examine AI limitations.