AI Ethics & Governance for Finance & Accounting Management

This course explores the critical considerations of ethics and responsible governance when implementing AI within the Finance & Accounting Management department. You'll delve into ethical principles like fairness, transparency, and accountability, and how they apply to financial AI applications. Additionally, you'll learn about regulatory considerations and best practices for governing AI within your organization. 

• Grasp the core principles of AI ethics and their importance in responsible AI development and deployment within finance.

• Understand key ethical concerns surrounding financial AI applications (e.g., bias, fairness, explainability).

• Explore the potential impact of AI on jobs, financial markets, and societal well-being.

• Learn about relevant regulations and frameworks for governing AI in the financial sector.

• Develop critical thinking skills to identify and address ethical considerations in financial AI projects.

• Understand best practices for implementing and governing AI within your department in a responsible and ethical manner.

1. AI Ethics & Responsible Governance in Finance:

• Introduction to AI ethics and its significance in the financial domain.

• Exploring core ethical principles like fairness, transparency, accountability, and explainability in financial AI.

• Understanding potential biases in financial AI models and their impact on decision-making (e.g., algorithmic bias in loan approvals).

• The human element in AI: human oversight, explainability, and building trust in financial AI models.

• Real-world case studies of ethical dilemmas arising from financial AI applications.

• Guest lecture (optional): Industry expert discussing the ethical considerations of AI in Finance.

• Group discussion: Identifying potential ethical issues in your department's current or future AI projects.

• Basic understanding of AI concepts and technologies

• Familiarity with the Healthcare & Life Sciences industries and their operations

• Knowledge of project management and risk assessment principles is beneficial but not required