AI Ethics
Ethical compliance, data security and academic responsibility in every AI interaction. Character and integrity building — a moral compass for every action.
What this domain contains p.13
- Academic integrity and plagiarism-prevention strategies.p.13
- Critical thinking to identify inaccurate or biased information.p.13
- Copyright and intellectual property protection.p.13
- Awareness of responsibility as an ethical digital citizen.p.13
- Compliance with values, ethics, laws and regulations including the Communications and Multimedia Act 1998 and the intellectual property statutes.p.13
How the six practices land in this domain p.34
Figure 4 maps every practice onto every domain. This is the column for AI Ethics.
1. Understanding AI
Be aware of the responsibility not to share personal information; understand AI is not a living entity.
2. Evaluating Critically
Uphold academic honesty; identify inaccurate, biased or false information.
3. Using AI Tools
Respect copyright and intellectual property when using AI-generated content.
4. Managing the AI Workflow
Make ethical decisions about which tasks suit AI and which need human judgement.
5. Creating with AI
Take responsibility for ensuring the final product is original and not plagiarised.
6. Innovating for Problem Solving
Ensure proposed innovations have positive impact and account for ethical implications for the community.
Legal instruments named here
MOE Professional Circular No. 11 of 2023
4 Oct 2023Guidelines on Values and Ethics in Social Media Use.p.13
Public Sector AI Adoption Guidelines
2025Whole-of-government guidance on adopting AI.p.13
Communications and Multimedia Act 1998
Act 588Governs online conduct.p.13
Intellectual property statutes
1983 / 1996 / 2019Patents Act 1983, Industrial Designs Act 1996 and Trademarks Act 2019 — copyright and IP in AI-generated work.p.13
Public Officers (Conduct and Discipline) Regulations
P.U.(A) 395/1993Sub-regulations 19(1) and 19(2) — the prohibition on making public statements.p.13