See AI’s influence
Recognize where AI shapes judgment, even when a person remains in the loop.
AI governance · Human judgment · Accountability
When AI influences a decision, who remains responsible? Viv Babber MD helps leaders see how AI shapes human judgment, recognize decision risk and build meaningful oversight. She brings physician leadership experience and the IAPP AIGP credential to the decisions organizations face as AI enters everyday work.
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Speaker reel · 78 sec
Speaker reel · 78 seconds
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The Invisible Layer Between AI, Human Judgment & Accountability
AI can recommend, prioritize, summarize or score while a person still makes the final choice. Viv examines where that influence becomes reliance, how judgment can shift over time and what organizations need to make responsibility clear.
Her Decision Governance approach focuses on the decisions AI helps shape. Through examples and practical questions, she explores decision authority, escalation, documentation and meaningful human oversight.
Recognize where AI shapes judgment, even when a person remains in the loop.
Examine how repeated reliance on AI can gradually shift judgment, autonomy and responsibility.
Use practical questions to clarify who decides, when to escalate and how accountability is documented.
A presentation for conferences, leadership meetings and board education, centered on the question: When AI influences the decision, who remains responsible for the outcome?
Discuss the keynoteParticipants examine an AI supported decision pathway, identify points of influence and potential Decision Drift, and explore gaps in oversight and accountability through scenarios and facilitated discussion.
Discuss the workshopViv Babber MD is a physician executive and AI governance strategist with more than 20 years of leadership experience. She holds the IAPP Artificial Intelligence Governance Professional (AIGP) credential and has training in ISO/IEC 42001 AI Management Systems and Lead Auditing. Her work helps leaders examine how AI influences judgment, where responsibility can become unclear and what meaningful human oversight requires.
Her speaking connects AI governance with the human decisions it is intended to support. She adapts the discussion to each audience, using healthcare as one example of the complex environments in which professional judgment, organizational responsibility and AI recommendations meet.
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