PhilArchive
open access
Can We Trust Robots? A Brief Consideration of Human–Machine Interaction in Medical Care
The global decline in birth rates and prolonged aging, combined with chronic shortages of human and material resources in the medical field, call for a rethinking of health care delivery worldwide. Even so, the principles of the ethics of care—patient autonomy and dignity—must be upheld. Robotics and AI are poised to take on an expanding role; however, uncertainty persists regarding their ability to perform tasks that are traditionally reserved for humans. Beyond technical limitations, the large-scale deployment of these technologies raises profound ethical and philosophical dilemmas that remain largely unaddressed by the literature. Simple robots inspire clear judgments, but the emergence of genuinely intelligent automatons blurs the question of trust, which depends heavily on how each user conceptualizes the machine. Patients can also become attached to these devices, complicating their responsibility. For the moment, robots should serve as sophisticated assistants while a comprehensive machine-ethics framework—bolstered by long-term studies on sustained human-robot interaction— grows mature enough to foster genuine trust in clinical practice.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Risk and liability in the deployment of AI systems for surgery: a SAGES white paper.#379082
- Risk and liability in the deployment of AI systems for surgery: a SAGES white paper.#375354
- From Concept to Clinic: Real World Evidence for Autonomous AI Deployment in Primary Care Telemedicine#29762
- Feasibility of Automated Prescription by Artificial Intelligence in Telemedicine Based on Health Law#1176682
- Patients’ Perceptions Toward Human–Artificial Intelligence Interaction in Health Care: Experimental Study#964517
Record · ID 1506982
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive