Research on the Legal Dilemma and Countermeasures of Urban Pension Service in the Era of Artificial Intelligence

Research on the Legal Dilemma and Countermeasures of Urban Pension Service in the Era of Artificial Intelligence

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Research ID N1J4F

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Abstract

In the era of artificial intelligence deeply empowering urban elderly care services, the smart elderly care model faces multiple legal dilemmas. This study analyzes the current situation of urban old-age care services in the era of artificial intelligence, covering the intelligent coverage of the whole scene of old-age care services, the ' home-community-institution ' integrated old-age care service model, and the large-scale development of the old-age care service industry promoted by multi-sector collaboration. At the same time, it elaborates on the difficulties faced by urban smart old-age care, such as the lack of special legislation for urban smart old-age care, the increase of security risks of excessive data collection, the ambiguity of the division of powers and responsibilities of multiple subjects, and the ethical risks caused by the lack of humanistic care. Furthermore, it proposes to construct a three-in-one governance framework of " special legislation $^ +$ technical standards $^ +$ ethical review " : to formulate " smart pension service regulations " to clarify the boundaries of rights and responsibilities ; establish a data classification and classification protection system to strengthen data security ; establish a detailed system of joint and several liability of multiple subjects to regulate the behavior of all parties ; improve the ethical risk review mechanism of smart pension and pay attention to humanistic care. Through the rule of law, we will balance the innovation of artificial intelligence technology and the protection of rights and interests, and promote the high-quality development of urban smart pension services.

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Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

Not applicable

Data Availability

The datasets used in this study are openly available at [repository link] and the source code is available on GitHub at [GitHub link].

Funding

This work did not receive any external funding.

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  • Classification

    [{"symbol":"LCC","code":"KNQ1520"},{"symbol":"DDC","code":"344.0326"},{"symbol":"arXiv","code":"cs.CY"},{"symbol":"ACM","code":"K.4.1"}]

  • Version of record

    v1.0

  • Issue date

    25 April 2026

  • Language

    en

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