WSQ - Responsible Generative AI Basics

LU1: Ethical Principles of Generative AI

• T1: Ethical considerations and potential risks of generative AI interaction
• T2: Ethical principles in AI
• T3: Apply ethical principles in decision-making related to AI
• T4: Exercise professional scepticism to exercise sound judgement on Gen AI output

LU2: Generative AI Privacy Techniques

• T1: Data anonymisation and de-identification techniques
• T2: Apply privacy measures when handling data for AI applications (e.g., implement simple data anonymisation and de-identification techniques, secure data storage using basic encryption)
• T3: Design guidelines or strategies for ethical AI use, including use of sensitive data in generative AI tools

LU3: Best Practices of Responsible Generative AI

• T1: Responsible AI principles and best practices for development and deployment, including intellectual property, data privacy and environmental impact considerations
• T2: Compare AI systems based on considerations such as compliance with intellectual property, data privacy and environmental impact
• T3: Compare ethical issues in AI applications

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Minimum Entry Requirement

Knowledge and Skills

• Able to operate using computer functions
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

• Positive Learning Attitude
• Enthusiastic Learner

Experience

• Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

TBD

Hardware: Window or Mac Laptops

• Administrative Executive
• Data Entry Officer
• AI Project Coordinator
• Customer Service Officer
• Digital Transformation Assistant
• Marketing Executive
• Compliance Assistant
• HR Executive
• IT Support Officer
• Operations Coordinator
• Learning & Development Officer
• Junior Data Analyst
• Office Manager
• Content Assistant
• Records Management Officer
• Project Assistant
• Communications Executive
• Business Support Executive
• Tech Integration Assistant
• Junior AI Compliance Analyst

Dr. Alfred Ang: Dr. Alfred Ang is a highly accomplished AI and digital transformation leader with more than two decades of experience spanning industry, research, and adult education. As the Chief Instructional Designer, Chief Technology Officer, and Chief Information Officer of Tertiary Infotech Pte Ltd, he has overseen the development of over 500 WSQ- and IBF-accredited courses, ensuring alignment with national skills frameworks and global standards. Holding a PhD from the National University of Singapore alongside advanced credentials such as PMP®, CSM®, AWS Certified AI Practitioner, Microsoft Certified Azure AI Engineer, and SCS Certified Senior AI Ethics Professional, Dr. Ang integrates cutting-edge technical expertise with curriculum innovation. His extensive portfolio includes applied projects in agentic AI, generative AI, robotics, and intelligent automation, where he has emphasized the importance of responsible workflows that prioritize fairness, accountability, and transparency
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Beyond courseware development, Dr. Ang has led in-house and industrial AI projects, including multimodal AI platforms, LLM-powered robotics, and automated curriculum-generation workflows. He also provides consultancy in workplace learning, helping organizations adopt AI-driven solutions that are both effective and ethically grounded. As a mentor, he has guided polytechnic and university interns in AI, robotics, and digital transformation, preparing the next generation of professionals to work responsibly with emerging technologies. With his unique blend of academic depth, industry leadership, and training excellence, Dr. Ang is well positioned to guide learners in understanding and applying basic practices for responsible generative AI workflows, ensuring that innovation is deployed with integrity and societal benefit in mind