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Artificial intelligence is no longer a future concept-it is actively shaping operations, care delivery, and risk exposure in senior living. From fall detection systems to predictive health analytics, AI offers significant promise. But when technology fails-when a fall goes undetected, a medication alert is missed, or predictive analytics influence care decisions incorrectly-organizational accountability and liability quickly rise to the executive level.

This session examines the evolving legal and operational gray areas of AI adoption through real-world case scenarios. Attendees will explore key risk considerations, including data privacy, HIPAA compliance, vendor accountability, and litigation exposure tied to AI-driven decisions. The discussion focuses on executive-level risk management strategies-from contract structure and governance models to staff training and policy development-that allow organizations to leverage innovation while protecting residents, reputation, and enterprise value. For senior living leaders, understanding where liability begins and ends is now a core leadership responsibility in an AI-driven environment.