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Navigating Ethical AI in Banking: A Critical Framework for Malaysian Bankers
  • Overview
  • Objectives & Outline
  • Methodology
  • Participant Profile
  • Trainer
  • Overview
    Programme Details
    Date
    21 August 2024
    Time
    9:00 AM – 1:00 PM
    Venue
    Online via Zoom
    HRDC PROG NO
    10001416362
    This half-day online programme explores the complex ethical landscape of AI in banking. It is designed for bank managers new to AI, it introduces key ethical theories and applies them to real-world case studies from Malaysia, Singapore, and the global financial sector. Participants will gain decision-making tools to address evolving ethical challenges and proactively promote responsible AI practices.
    Learning Level
    Intermediate
    Programme Fees*

    MYR

    850

    *Subject to 8% Service Tax per pax

  • Objectives & Outline
    LEARNING OBJECTIVES
    By the end of the programme, participants will be able to:
    • Articulate key ethical theories including deontology, consequentialism, virtue ethics, and others relevant to AI ethics
    • Apply ethical frameworks to analyse real-world banking scenarios involving AI
    • Identify and address potential biases, privacy concerns, and trust issues related to AI deployments
    • Assess the Malaysian and international regulatory landscape surrounding ethical AI in finance
    • Develop strategies for integrating ethics into AI design, development, and management
    PROGRAMME OUTLINE
    Module 1: Ethical Theories for AI Decision-Making
    • Deontology: Rule-based ethics and its implications for AI programming
    • Consequentialism: Evaluating outcomes and trade-offs of AI systems
    • Virtue Ethics: The role of character and organisational values in shaping AI initiatives
    • Other relevant theories: Kohlberg's stages of moral development, Roger Stears' integrated approach

    Module 2: AI, Bias, and Fairness
    • Case Study: US - Facial recognition software in law enforcement exhibiting racial bias
    • Causes of algorithmic bias and strategies for mitigation
    • Promoting fairness in lending, hiring, and customer service AI applications

    Module 3: Data Privacy, Security, and Trust
    • Case Study: Global – Cambridge Analytica scandal and the misuse of social media data
    • Malaysian privacy regulations (Personal Data Protection Act) and challenges
    • Encryption, anonymisation, and securing sensitive financial data
    • Building customer trust in the security of AI systems

    Module 4: Explainability and Accountability in AI
    • Case Study: EU – The "right to explanation" under the General Data Protection Regulation (GDPR)
    • Techniques for understanding AI decision-making (black box vs. interpretable models)
    • Accountability chains, audits, and ensuring human oversight of AI systems

    Module 5: The Malaysian Context and Responsible AI
    • Regulatory landscape and evolving ethical guidelines for AI in finance
    • Case Study: Malaysia - AI-driven wealth management tools potentially leading to unsuitable client recommendations
    • Developing an organisational code of ethics for AI

    Conclusion: Shaping the Future of Ethical AI in Banking
    • Proactive ethical leadership in Malaysian banking
    • Promoting a culture of responsible AI innovation
  • Methodology
    Combination of slide presentations, gamification and discussion of real-life cases
    Pre-Requisite
    Pre-reading materials*
    Participants are required to read the materials before attending the online class
    *Compulsory to meet the 5 CPD hours AICB criteria (4 hours online + reading)
  • Participant Profile
    Bank managers
  • Trainer

    Dr Vijayan Paramsothy

    Dr Vijayan Paramsothy 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) and a Certified HRD Corp trainer.

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