AI for Workplace Wellbeing Programmes: Design and Boundaries

Workplace wellbeing programmes have never been more critical—or more complex. AI promises to personalise support, detect early signs of burnout, and scale interventions across teams, but it also introduces profound risks around privacy, trust, and the very human need for authentic connection. This practical guide equips HR leaders, wellbeing officers, and people managers with the frameworks to design AI-assisted wellness initiatives that genuinely help without crossing ethical lines. You will learn where AI can augment—not replace—human support, how to audit vendors for data integrity, and when to keep the machine out entirely. Grounded in professional duty of care and real-world implementation constraints, the book walks through consent architecture, bias monitoring, triage boundaries, and the crucial distinction between sympathetic listening and clinical diagnosis. Every chapter includes verification checklists, briefing templates, and boundary-setting exercises. Whether you are building a new programme or auditing an existing one, this is the practical reference for keeping wellbeing human while using AI wisely. Part of The AI at Work Library.

About the author

Sophia Lund Alvarez writes for The AI at Work Library.

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E-bog: 28. september 2026