Fintech/Virtual Assets
AI in Finance: Foundations, Ethics, and Risk Management (CISI) [Package]
Overview
This course package features modules by the Chartered Institute for Securities and Investment (CISI) as part of their award-winning Certificate in Ethical Artificial Intelligence programme. It is designed to enhance learners' understanding of ethical considerations in AI, providing financial services professionals with critical insights into AI, its ethical challenges, and effective risk management strategies.
As AI continues to reshape the financial landscape, this package equips learners with the foundational knowledge, ethical frameworks, and practical tools necessary to navigate and leverage AI responsibly and effectively
Course 1 explores the transformative potential of AI, from its historical roots to modern applications. Key areas include: demystifying AI concepts, such as machine learning and deep learning and addressing societal impacts, ethical concerns, and data protection.
Course 2 focuses on guiding principles for responsible AI use and professional codes of conduct and ethical frameworks.
Course 3 emphasises identifying, assessing, and mitigating AI-related risks; and ethical practices, regulatory compliance, and international standards.
Flexibility and Enrolment Options
Learners have the flexibility to enrol in individual courses to suit their specific learning needs. However, enrolling in this full package offers the following benefits:
• Cost-effective option with a discounted rate of 20% off
• Provides a holistic understanding of AI in financial services
Objective
By completing this course package, learners will be able to:
• Demonstrate a foundational understanding of Artificial Intelligence, including key concepts, terminology, and development trends
• Apply ethical considerations and professional standards to ensure responsible AI deployment in financial services
• Identify, assess, and manage technical, operational, and societal risks associated with AI systems
• Interpret and utilise international frameworks and principles for ethical and risk-aware AI practices
• Integrate AI knowledge into financial contexts such as compliance, asset management, and investment planning
Content
Course 1: Artificial Intelligence – An Introduction
• Section 1: Background
• Section 2: Development Trends
• Section 3: Jargon and Terminology
• Section 4: Machine Learning
• Section 5: Risk, Ethics, and Data Protection
• Final Assessment*
Course 2: Ethical AI and Professional Codes of Conduct
• Section 1: Ethics in AI
• Section 2: Codes of Conduct
• Section 3: AI Ethics Principles
• Section 4: Assessing AI
• Final Assessment*
Course 3: Risk Management in AI
• Section 1: Introduction
• Section 2: Risk Management in an AI Context
• Section 3: A Modern Approach to AI Risk Management
• Final Assessment*
*Assessment Details
• Each course contains a 20-question final assessment.
• Learners have two attempts to pass each assessment (75% pass mark).
• Assessments should be completed independently and without interruptions.
• If both attempts are unsuccessful, learners will need to repurchase the course to retake the assessment.
• Once an assessment is passed, retakes will not be available
Who should attend
This course package is ideal for wealth and investment managers, as well as professionals in financial services functions like risk, compliance, asset management, banking, insurance, operations, and financial planning.