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Elements of AI Governance in Banking & Finance

Elements of AI Governance in Banking & Finance

Dates

  • • to
    Delivered Online
    €160+ VAT
    Book

Highlights

  • Live Online

  • 3 CPD Units | 3 Hours

The EIMF Live Online Learning Experience

Participants will receive access to the recorded sessions of the course.

EIMF subject-matter experts deliver engaging and interactive courses across a broad spectrum of areas, that can be enjoyed in the comfort of your own chosen environment. Read more

Course Overview

The course will provide professionals with the knowledge of basic elements needed to establish an effective Governance framework which oversees and manages AI systems responsibly. Covering foundational concepts in AI ethics, AI risk lifecycle, and social and ethical considerations, this programme offers a high-level understanding of the components of AI governance in financial services.

Participants will also gain insights into how European regulations affect planning, development and deployment of AI systems, as well as understand core trustworthy AI principles such as explainability, interpretability, and reliability.

Furthermore, the course will explore AI Performance, model governance, and third-party system oversight, both concerning traditional AI as well as GenAI equipping professionals with the basic knowledge required to develop ethical, resilient, and compliant AI frameworks.

Training Objectives

By the end of the programme, participants will:

  • Understand the primary components of AI governance programme for banks and financial institutions (FIs)

  • Know how to navigate some common problems and challenges faced by Banks and FIs in building an effective AI Governance framework

  • Learn about emerging standards in AI risk management and their relevance to AI Governance

  • Understand via case studies how to apply concepts learned practically in their organisation

  • Learn how to create effective AI risk taxonomy and AI risk management programmes for their organisations.

  • Comprehend the interplay between AI governance, regulations and risk management in the AI context within Banking & Finance

  • Understand important of establishing a Generative AI Acceptable Use Policy for their organization

Training Outline

Foundations of AI ethics and Trust

  • Concept of Trustworthy AI

  • Role of AI ethics

  • The EU Framework for trustworthy AI

Defining and Characterising AI systems

  • Defining AI

  • Unique characteristics of modern AI systems

  • Strong and Weak AI

Social and Ethical Dimensions

  • Fairness concepts: Bias, Discrimination and exclusion

  • Malicious and harmful uses: Toxicity, Dis-information and Adversarial threats

  • Misinformation and hallucination

  • Behavioural impact on society

Introduction to AI risks

  • AI risk taxonomy and classification

  • Uniqueness of AI risks and challenges in risk identification strategies

Emerging Standards in AI risk and governance

Understanding Regulations and compliance via the EU AI Act

  • Major provisions for financial institutions

  • Risk based classification

  • Impact of non-compliance

  • Impact on technology and corporate strategy

AI and Model risk management

  • Traditional elements of Modern risk management

  • AI risk management and traditional MRM

Introduction to AI Lifecycle, Standardisation and Evaluation

  • Primer on AI lifecycle

  • Governance elements across the AI lifecycle

  • Importance of standardisation

  • Evaluation strategies

Introduction to the AI Risk management Lifecycle

  • Role and rationale for AI risk management cycle

  • Elements of AI risk management cycle

Mini workshop: A Generative Acceptable Use Policy

Who Should Attend

  • CROs (Chief Risk Officers)

  • CIOs (Chief Information Officers)

  • Chief Data Officers

  • Chief Technology Officers

  • Heads/Managers of Business Units

  • Directors

  • Governance, Risk and Compliance Managers and Officers

  • Chief legal officers

  • Legal advisors

Training Style

This course adopts a practical and interactive training approach, combining expert-led presentations with real-world case studies and open discussions. Sessions include structured lectures supported by PowerPoint presentations, interactive quizzes, and practical examples from finance and banking. Participants are encouraged to ask questions, share insights, and discuss challenges from their own professional experiences. A mini workshop aims to give participants practical experience in how to develop AI policy.

CPD Recognition

This programme may be approved for up to 3 CPD units in Financial Regulation. Eligibility criteria and CPD Units are verified directly by your association, regulator or other bodies which you hold membership.

For the CySEC requirements, CPD units attained from this course should not exceed the 50% of the total CPD Units of each individual.

In-house Training

For groups within the same organisation, this course may be customized to meet any specific needs and delivered in-house.

Facilitators

  • Rohit Kumar

    Rohit Kumar

    Rohit is the Founder & CEO of RiskAI Technologies GmbH and a Board Member at NewOak Finance Inc. A recognized expert in AI innovation and governance with over twelve years experience, he has led AI-driven transformation for over fifteen Fortune Global 500 companies and financial institutions worldwide. He is the creator of Malaysia’s first national-level AI Leadership Program, designed for executives in regulated industries. His expertise spans enterprise AI, LLM development for financial institutions, and AI governance and risk