Trust has always been central to accounting and finance, but in a technology-first world it can no longer be assumed, inherited, or protected by reputation alone. As AI, automation, and intelligent systems reshape how work gets done, stakeholders are asking new questions about judgment, transparency, and accountability. This session introduces the mechanics of trust and explores how trust is built, damaged, and repaired across individuals, teams, organizations, and technology-enabled systems. Drawing on the Rise2040 findings, participants leave with a practical framework for understanding the anatomy of trust and their own role in building it in an AI-enabled profession.
Course ID: TAOT
The Anatomy of Trust: Building and Maintaining Trust in a Technology-First World
Learning Objectives
After completing this course, you will be able to:
- Identify the five mechanics of trust
- Recognize how AI, automation, data use, and technology-enabled decision-making create new expectations for explainability, accountability, governance, and stakeholder confidence
- Recognize how trust is built, maintained, damaged, and repaired at the individual, organizational, technological, and profession-wide levels
- Identify practical actions leaders and professionals can take to strengthen trust architecture
Major Topics
- New expectations for explainability, accountability, and governance in technology-enabled decision-making
- How trust is built, damaged, and repaired at the individual, organizational, technological, and profession-wide levels
- Trust architecture: standards, governance, ethical culture, communication, and data stewardship
- Practical actions for strengthening trust in teams, client relationships, and technology-enabled workflows
Who Should Attend
CPAs, accounting and finance professionals, firm leaders, finance leaders, people leaders, emerging leaders, client-facing professionals, and technology and innovation leaders
Fields of Study
Behavioral EthicsPrerequisites
None