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Ship It Broken, Label It Honest: Deployment Patterns for AI Agents in Early-Stage Wellness Platforms

Year: 2026

Type: article

Abstract: Position paper formalising six deployment patterns for AI agents in wellness platforms: experimental labelling, stability-first model selection, data gap architecture, progressive onboarding, WHO QoL anchoring, and tiered AI credits. Grounded in Bhaskar's critical realism, the paper argues that labelling AI outputs as experimental is an epistemological commitment, not a UX compromise.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19601970

Author: Waern, Nicolas

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Safety Research

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W7154613648

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