Ethical and Societal Impact of Generative AI
About This Course
This module covers the ethical, regulatory, and societal dimensions of deploying generative AI in business and analytics contexts. Students study Singapore's Model AI Governance Framework and the AI Verify toolkit. Real-world challenges are examined through case studies, including hallucination and its consequences for decision-making, algorithmic bias, data leakage risks, adversarial attacks, and accountability gaps in automated systems. The module combines theoretical frameworks with applied case analysis to prepare students to identify and manage AI-related risks in their professional roles.
What You'll Learn
• Explain Singapore's Model AI Governance Framework and AI Verify toolkit in the context of generative AI deployment
• Identify and analyse ethical challenges including hallucination, algorithmic bias, data leakage, and adversarial risks through case studies
• Apply ethical principles and engage stakeholders in responsible AI development and deployment
Entry Requirements
Applicants should possess a relevant (Business, Engineering, or Technology) local Polytechnic Diploma, ITE Technical Diploma / Technical Engineer Diploma / Work-Study Technical Diploma or Degree.
Applicants who do not meet the entry requirements may be considered for admission based on evidence of at least 5 years of relevant working experience or supporting evidence of competency readiness. Suitable applicants who are shortlisted may be required to go through an interview and/or entrance test.