AI Prompting for Sustainable Finance: Skills for Credible & Ethical Use - Sustainable Finance

This one-day foundation course equips finance, fintech, and policy professionals with practical AI prompting skills to support sustainable finance activities. You’ll learn how to extract insights for ESG risk assessments, structure green finance instruments, and enhance sustainability reporting — all while using AI ethically and effectively.

The course emphasises AI as a support tool, not a decision-maker, and includes real-life examples and hands-on prompt practices.

You’ll also explore what’s next in AI for sustainable finance — including AI agents and Retrieval-Augmented Generation (RAG) — tools that improve ESG data reliability and help prevent greenwashing.

Programme Outline

Learning Objectives

By the end of the programme, participants will be able to:

Design effective AI prompts to explore sustainable finance concepts and regulatory frameworks.
Identify ESG risks and greenwashing signals using AI responsibly
Develop sustainable finance product ideas (e.g., SLL, green loans) through structured prompting.
Explain ethical risks in AI use, such as bias, hallucinations, and misuse of outputs.
Comprehend emerging AI tools like AI agents and RAG in the context of automating ESG workflows and supporting data reliability

Programme Outline

Module 1: Prompting Basics in Sustainable Finance
What is AI prompting?
Introduction to ESG, green finance, and BNM Climate Change and Principle-based Taxonomy (CCPT)
5-minute warm-up activity: Ask AI to explain “ESG”, “CCPT”, or “SLL” in simple language
Prompting for clarity, citations, and structured outputs
Introduction to AI hallucinations and checking sources
Module 2: Prompting for ESG Risk & Greenwashing Detection
Using AI to analyze ESG risks from reports or media
Detecting greenwashing and alignment gaps using CCPT lens
Identifying bias risks: Prompting for multiple perspectives
Designing prompts for critical ESG analysis and cross-checking
Module 3: Prompting for Green & Transition Finance Structuring
Prompting use cases for green loans, Sustainability-Linked Loans (SLLs), and ESG KPIs
Generating climate scenarios and sustainability-linked contract clauses
Clarifying assumptions, scoping, and structuring via prompt framing
Module 4: Ethical Use of AI in Finance (Wrap-up)
Principles of ethical AI: Fairness, transparency, and privacy
Malaysia’s AI ethics guidance
Identifying hallucinations and refining prompts for responsible use
Recap: Real vs. misleading AI responses in sustainable finance
What’s Next: AI agents and Retrieval-Augmented Generation (RAG) for automating ESG data checks and taxonomy alignment

METHODOLOGY

Lectures, Live Practice, Global Reference cases

Participant profile

Participants are expected to have basic awareness of sustainable finance, including:

ESG principles (Environmental, Social, Governance)
Climate-related risk and opportunity frameworks
Financial instruments like green loans, SLLs, or taxonomies such as BNM CCPT

No prior technical experience with AI is required.

Trainer

Sharon Liew Siu Wei

Senior Consultant, Asian Banking School

Jimmy Junze Li

Seasoned AI advocate and Go-To-Market strategist specializing in generative AI

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Sharon Liew Siu Wei

Senior Consultant, Asian Banking School

Sharon Liew is an experienced Sustainable Finance Trainer with over 17 years of expertise spanning central banking, auditing, consulting, education, and training.

She began her career at BDO, leading audits across various industries and government-linked entities. She later joined Bank Negara Malaysia (BNM), where she supervised financial institutions and led thematic reviews on risk management control functions. In 2012, she represented BNM at the Monetary Authority of Singapore’s Banking Supervisory Training. Driven by a passion for teaching, Sharon transitioned to academia, where she taught banking and finance at Tunku Abdul Rahman University College (TARUC). She also taught foreign languages to corporate learners from diverse backgrounds, further enhancing her ability to connect with individuals from various cultures.

At ABS, Sharon designs, develops, and delivers sustainable finance programmes, including the Sustainable Finance Structured Learning Pathway, which covers foundational to advanced levels and is aligned with the Green Finance Advisor (GFA) certification. Her recent projects include collaborations with Universiti Teknologi Malaysia (UTM) on renewable energy policy focus groups and green finance training tailored to ASEAN-specific challenges.

Sharon has built strong academic partnerships with leading learning institutions in China, including Tsinghua University and the International Institute of Green Finance at Central University of Finance and Economics (IIGF-CUFE), focusing on, fintech, sustainable finance and AI integration in financial education. Her regional expertise is further demonstrated through her role as a judge at the I-CEE Student Case Competition at the International Business School-Beijing Foreign Studies University (IBS-BFSU) and her presentations at ASEAN+3 and RCEP conferences.

Sharon is a Chartered Accountant with the Malaysian Institute of Accountants, a Certified HRDF Accredited Trainer, a Certified Expert in Sustainable Finance from the Frankfurt School of Finance & Management, and a holder of the Professional Certificate in Islamic Finance from INCEIF. She is also TESOL certified by the London Teacher Training College and certified in Teaching Chinese as a Foreign Language (CTCSOL) by Hanban.

Jimmy Junze Li

Seasoned AI advocate and Go-To-Market strategist specializing in generative AI

Jimmy Li is a seasoned AI advocate and Go-To-Market strategist specializing in generative AI. He began his career at Alibaba Group as a data scientist, leveraging data analytics to provide C-level executives with actionable business insights. With extensive experience in guiding enterprises through the adoption of cutting-edge generative AI technologies, he has played a key role in driving workflow automation and product innovation.

Currently serving as a Senior Customer Manager at Zhipu, Jimmy has successfully partnered with Lenovo Group to develop AI-powered features for their devices while also spearheading global business expansion into Malaysia and Singapore.

Jimmy holds a master’s degree in data science from New York University and a Bachelor’s degree in Risk Management and Business Intelligence from the Hong Kong University of Science and Technology. His core expertise spans data science, generative AI, and customer success management.