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UID:271367imp
DTSTAMP:20260924T232929Z
DTSTART:20261026T153000Z
DTEND:20261026T163000Z
SUMMARY: Start From Trust: An Evidence-Based Approach to AI Adoption
DESCRIPTION: AI is now built into software that CPA firms already use\, and the pressure to have a position on it keeps rising. For most small and midsize firms the question is not whether these tools matter\, but how to engage with them on terms that fit a practice built on trust\, confidentiality\, and professional judgment.

This course makes an evidence-based case that professional skepticism is an asset in technology decisions\, provided it is aimed at the right target. Drawing on research in trust calibration\, human and AI decision making\, cognitive offloading\, and professional identity\, it examines why experienced professionals discount sound algorithmic advice\, what that discounting costs in accuracy\, and where reasonable caution turns into accidental delay. Participants locate their firm on the AI Trust and Usage Quadrant\, apply five trust questions to vendor claims\, and review bounded first steps designed to protect independent judgment during a pilot. The course is vendor neutral and recommends no product.


This event may be a rebroadcast of a live event and the instructor will be available to answer your questions during the event.
CLASS:PUBLIC
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