WSQ - Developing Ethical Strategies for Responsible Generative AI

LU1: Foundations of Business Presentation Delivery in a Generative AI World

T1. Understanding Business and Organisational Contexts (K1, A1)

• Examine how business environments impact organisational presentation needs
• Understand organisational strategies, objectives, culture, policies, and product/service positioning
• Establish objectives for presentations considering organisational requirements

T2. Introduction to Generative AI for Business Presentation Delivery (A1)

• Overview of Generative AI tools for business presentations
• Analyse the impact of Generative AI on audience engagement and messaging
• Identify appropriate AI-enhanced presentation modes for organisational use

LU2: Planning Effective Business Presentations

T1. Setting Objectives and Selecting Presentation Modes (K2, A2)

• Define presentation objectives based on organisational goals
• Identify suitable traditional and AI-enhanced presentation modes for different audiences
• Determine deliverables required for the target audience

T2. Developing Targeted Presentation Collaterals (A2)

• Select and design collaterals (slides, videos, demos) using Generative AI tools
• Adapt collateral types to suit the needs of senior management and other stakeholders

LU3: Delivering Impactful Business Presentations with Generative AI

T1. Techniques to Engage and Persuade Audiences (K3, A3)

• Apply techniques for effective audience engagement and persuasion
• Deliver clear, audience-centered messages during presentations

T2. Handling Discussions and Negotiations (A3)

• Manage discussions, objections, and negotiations confidently
• Prepare for audience interactions using AI tools

LU4: Reviewing and Enhancing Business Presentation Strategies

T1. Reviewing Outcomes and Continuous Improvement (K3, A4)

• Review and assess presentation performance using feedback
• Implement improvements based on review outcomes for future presentations

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

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

• AI Ethics Officer
• Responsible AI Strategist
• Data Protection Officer
• Governance, Risk & Compliance (GRC) Analyst
• Corporate Social Responsibility (CSR) Manager
• Policy Advisor (Technology & AI)
• AI Governance Consultant
• Risk Management Executive
• Digital Transformation Manager
• AI Product Manager
• Technology Compliance Specialist
• Research Analyst (AI Ethics)
• Innovation Manager
• Sustainability Analyst
• Privacy and Data Governance Officer
• Public Policy Manager (AI & Technology)
• Business Strategy Consultant
• Trust & Safety Specialist
• Diversity and Inclusion Officer
• Legal Counsel (AI & Technology Ethics)

Dwight Nuwan Fonseka: Dwight Nuwan Fonseka is an accomplished data science leader with deep expertise in machine learning, deep learning, big data, and applied AI, currently serving as the Head of Data Science at Plano Pte. Ltd. His portfolio includes developing predictive healthcare analytics, building RShiny applications, and deploying AI-driven solutions where ethical considerations such as fairness, privacy, and transparency are central. With strong technical proficiency in R, Keras, h2oAI, Spark, Tableau, and AWS-based big data environments, Dwight has spearheaded projects ranging from healthcare risk prediction to large-scale text mining and social media sentiment analysis. These experiences have positioned him to understand both the transformative opportunities of generative AI and the pressing need for ethical frameworks to guide its adoption
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As a certified ACLP trainer and experienced educator, Dwight also lectures at the London School of Business and Finance (LSBF) and serves as an associate trainer with Tertiary Courses. He has coordinated diploma programs in data analytics and taught across domains such as AI ethics, data visualization, and responsible machine learning. His teaching philosophy emphasizes equipping learners with the ability to design and implement AI solutions that are not only technically sound but also ethically aligned—addressing issues like bias mitigation, transparency, and responsible deployment. With his unique blend of industry leadership and pedagogical expertise, Dwight is well-positioned to help professionals develop actionable strategies for responsible use of generative AI in business and society