Asian Banking School
Overview

Artificial intelligence (AI) is rapidly reshaping the financial services industry.
While AI offers immense potential, it also raises complex ethical questions about bias, privacy, transparency, and accountability. This programme empowers financial professionals to navigate the ethical landscape of AI, cultivating a culture of responsible innovation that fosters public trust and long-term sustainability.
Programme Outline
Learning Objectives
By the end of the programme, participants will be able to:

  • Define ethical culture within the financial sector and explain its importance for responsible AI use.
  • Identify and analyse ethical dilemmas arising from the integration of AI into financial services.
  • Understand key global and Singapore-specific regulations and ethical frameworks governing AI implementation.
  • Apply practical decision-making tools to evaluate AI systems from an ethical perspective.
  • Develop strategies to foster an ethical AI culture within their organizations, emphasizing leadership, employee training, and governance structures.

Programme Outline
  • Module 1: Introduction to Ethical Culture and AI in Financial Services (1 hour)
    • Icebreaker: Ethical Decision-Making Scenarios
    • Participants will be presented with brief scenarios involving ethical dilemmas in financial services. They will discuss their initial responses and the factors influencing their decisions
    • Defining Ethical Culture and its Relevance
    • Explanation of ethical culture: The shared values, beliefs, and practices that guide decision-making within an organization, emphasizing integrity, fairness, and transparency
    • Importance in the financial sector: Building public trust, mitigating reputational risks, and aligning with long-term sustainability goals
    • Introduction to AI Concepts and Applications
    • Basic concepts of AI: Explain machine learning, natural language processing, and other relevant AI techniques without excessive technical jargon
    • Common Use Cases in Finance: Fraud detection, personalized customer service, algorithmic trading, portfolio optimization, risk assessment, and regulatory compliance
    • Ethical Crossroads: AI's Benefits and Potential Pitfalls
    • The Promise: Efficiency, insights, automation, and innovation
    • The Perils: Bias, lack of explainability, privacy violations, unintended consequences, and potential job displacement
  • Module 2: Ethical Dilemmas in AI: Case Studies and Discussion (1 hour)
    • Case Study 1: AI and Algorithmic Bias
    • Present a real-world or hypothetical example of an AI credit scoring model that inadvertently discriminates based on factors like race, gender, or geographic location
    • Explore the causes of such bias (e.g., biased training data, incomplete algorithms)
    • Analyze the potential harm to individuals, the financial institution, and society
    • Case Study 2: AI, Market Manipulation, and Accountability
    • Examine a scenario involving an AI trading system engaging in potentially manipulative behaviour due to inadequate safeguards or improper programming
    • Discuss challenges in establishing accountability in complex AI systems and the implications for market integrity
    • Group Discussion: Analysing Implications and Finding Solutions
    • Facilitate a discussion on identifying the core ethical issues in each case study
    • Encourage participants to propose solutions that balance innovation with ethical principles such as fairness, transparency, and accountability
  • Module 3: Navigating Ethical AI Use in Financial Services (1 hour)
    • Ethical AI Frameworks
    • Overview of international guidelines: OECD Principles on AI, IEEE Standards, EU Ethics Guidelines for Trustworthy AI
    • Focus on core themes: fairness, accountability, transparency, human oversight
    • Regulatory Landscape in Singapore
    • Key MAS initiatives: FEAT principles, AI governance frameworks
    • IMDA initiatives: Model AI Governance Framework, focus on practical guidance for implementation
    • Ethical Decision-Making Tools
    • Introduce checklists, impact assessments, and bias testing tools designed to identify potential ethical risks at different stages of AI development and deployment
  • Module 4: Building an Ethical Culture in the Age of AI (1 hour)
    • Leadership's Central Role
    • The importance of setting the tone from the top by championing ethical AI use and integrating ethical considerations into business objectives
    • Empowering Employees: Training & Awareness
    • Upskilling employees on responsible AI concepts, recognizing ethical red flags, and understanding their roles in implementing ethical AI practices
    • Governance Structures & Continuous Learning
    • Developing ethical oversight committees or appointing dedicated AI ethics officers
    • Emphasizing continuous learning and staying updated on evolving AI regulation and best practices
  • Module 5: Code of Conduct (1 hour)
    • Overview of the Bank's Code of Conduct
    • Key Principles
    • The Importance of the Code
    • Why the Code Matters
    • Your Role in Upholding the Code
    • Singapore Context (IBF)
    • Key Values Underpinning the Code of Conduct
  • Case Study 1: The 1MDB Scandal and Ethical Lapses at BSI Singapore (30 mins)
    • Consequences of Non-Compliance
    • Why Compliance Matters
Case Study 2: Singapore-based Bank (30 mins)

Assessment – 10 MCQ (30 mins)
METHODOLOGY
Lecture, case studies and discussions
Target Audience
Relationship Manager, Wealth Manager, Financial Advisor, Personal Banker, Investment Manager, Fund Manager, Private Banker, Compliance Advisory Executive, Compliance Analyst, Risk Analytics Analyst, Financial Crime Compliance Executive
trainer
Dr. Paramsothy Vijayan
Director of Graduate Training & FSTEP
ibf funding
About IBF Standards Training Scheme (IBF-STS)
This course is eligible for funding under the IBF Standards Training Scheme (IBF-STS), subject to all eligibility criteria being met.

Participants are advised to assess the suitability of the course and its relevance to his/her business activities or job roles.

The IBF-STS is available to eligible entities and individuals based on the prevalent funding eligibility, quantum and caps.  IBF-STS provides up to 70% course fee subsidy support for direct training costs subject to a cap of S$3,000 per candidate per course subject to all eligibility criteria being met.

About IBF Certification
This course addresses the following Technical Skills and Competencies (TSCs) and proficiency level:

  • Ethical Culture Level 3 (Proficiency Level 3)
Participants are encouraged to access the IBF MySkills Portfolio (https://www.ibf.org.sg/home/for-individuals/resource-tools/myskills-portfolio) to track their training progress and skills acquisition against the Skills Framework for Financial Services. You can apply for IBF Certification after fulfilling the required number of Technical Skills and Competencies (TSCs) for the selected job role.

Find out more about IBF certification and the application process on https://www.ibf.org.sg/home/for-individuals/ibf-certification/why-be-ibf-certified
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Dr. Paramsothy Vijayan
Director of Graduate Training & FSTEP
Dr Vijay is the Director of Graduate Training & FSTEP at the Asian Banking School. He started his career working in one of the big 8 Chartered Accountants and Management Consultancy firms in the UK. He has over 20 years of banking experience working in local and foreign banks up to a senior management level, ranging over a diverse range of disciplines.

He is currently involved in structuring bespoke technical and soft skill programmes for banks. In addition, he is involved in the curriculum working committee for professional qualification programmes such as the Chartered Banker and Bank Risk Management. He is also a designated Chartered Banker trainer, bringing a fresh approach to self-directed learning using mind-mapping techniques, case studies and problem-based learning. Dr Vijay has published banking and finance related text books and journal articles internationally, including, “Success Factors for the Implementation of Entrepreneurial Knowledge Management in Malaysian Banks” (Journal of Information & Knowledge Management, 2013).

Dr Vijay holds an Honours Degree in Accounting and Finance from Scotland, a Master of Science Degree in Multimedia Technology (Banking), a Doctor of Business Administration (Banking Strategy and Marketing) from Australia, and a Doctor of Philosophy (Knowledge Management in Banking) from Malaysia. He recently successfully completed his Chartered Banker MBA from the Bangor Business School. He is also a Certified Training Professional (ARTDO).
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Ethical Culture in the Era of Artificial Intelligence: Building Trust and Responsibility in Financial Services
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