This Microcredential provides a foundational understanding of Artificial Intelligence (AI) and the ethical principles, including human-centred values, social and environmental wellbeing, and accountability. It is designed for learners with little or no prior experience in AI and ethics, covering how AI technologies function and the ethical challenges they present (bias, transparency, exploitation). Participants explore real-life examples, data privacy, and key regulations like GDPR and the AI Act. By the end, learners can identify ethical considerations, safeguard personal data, and discuss AI's effects on individuals and communities.

Self-Assessment Quizzes; Practical Lab Exercises; Assignments; Essays/Reports; Knowledge Checks; Final Exam (Online); Case Studies; Projects

Lectures; Videos; Hands on Labs; Practical Labs; Case Studies; Live Code Demos; Code Reviews; Literature Reading

Define AI and basic applications; recognise ethical challenges (privacy, bias, transparency, accountability); apply fairness/privacy/transparency/responsibility in simple scenarios; follow ethical guidelines (e.g., GDPR) in basic tasks; discuss broader societal implications of AI and the role of ethics.

Basic AI literacy; Awareness of data privacy and protection laws; Fundamental comprehension of ethical principles; Ability to identify ethical issues in simple AI scenarios

Critical thinking for bias detection; Ethical awareness and sensitivity; Communication and collaboration for ethical issues