AI Ethics, Impact, and Interfaces

This unit examines ethical and compliance considerations when deploying generative AI (e.g., ChatGPT) in financial services, assesses AI’s potential effects on industry roles and client outcomes, and introduces principles for developing interactive AI interfaces. It synthesizes prior units and prepares learners to propose responsible implementation plans and next-step learning or deployment activities.

Learning Objectives

• Analyze ethical, legal, and bias-related considerations when integrating generative AI into financial services workflows and recommend risk mitigation and governance strategies.
• Evaluate potential effects of AI on financial industry roles, client outcomes, and firm operations by comparing scenarios and forecasting risks and opportunities.
• Apply human-centered design principles to develop a concept for an interactive AI interface for a specific investment or analytics task, including user prompts, guardrails, and validation checkpoints.
• Demonstrate synthesis of unit content by creating a concise implementation roadmap and assessment plan that outlines next steps, training needs, and ethical governance for adopting AI tools in a financial services context.