Ethical AI: Human-centered approaches for adaptive and sustainable urban planning and policy

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F25%3AA2603B2A" target="_blank" >RIV/61988987:17310/25:A2603B2A - isvavai.cz</a>

Result on the web

<a href="https://linkinghub.elsevier.com/retrieve/pii/S026483772500184X" target="_blank" >https://linkinghub.elsevier.com/retrieve/pii/S026483772500184X</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.landusepol.2025.107650" target="_blank" >10.1016/j.landusepol.2025.107650</a>

Result language

angličtina

Original language name

Ethical AI: Human-centered approaches for adaptive and sustainable urban planning and policy

Original language description

This review examines how Human-Centered Artificial Intelligence (HCAI) can be effectively integrated into landuse policy and spatial planning to promote ethical, inclusive, and sustainable urban development. HCAI emphasizesuser empowerment, transparency, and ethical accountability principles that are increasingly essential inaddressing the complexities of modern planning systems. The purpose of this review is to explore how HCAI,when combined with humanistic planning practices, can enhance decision-making processes and foster publictrust. The review identifies key strategies for embedding HCAI into spatial contexts, including the use ofmultisensory data, embodied cognition, and urban digital twins. These tools support adaptive, participatoryframeworks by capturing human-environment interactions and enabling data-driven, real-time responses tocommunity needs. Case studies in areas such as transportation, green space design, and climate-resilient infrastructureillustrate how HCAI contributes to more responsive and equitable planning outcomes. However, thepaper also highlights ongoing challenges, such as ensuring algorithmic transparency, mitigating data biases, andachieving genuinely inclusive participation. Addressing these issues is essential for aligning AI systems withdemocratic planning values. The review concludes by outlining future directions for research and practice,including advancing real-time, participatory urban digital twin platforms, improving multimodal data integrationfor inclusive planning, and developing robust ethical frameworks to guide AI deployment in land usegovernance. These steps are crucial to realizing the full potential of HCAI in building climate-resilient, sociallyresponsible, and community-driven urban systems.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

50700 - Social and economic geography

Project

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Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Land Use Policy

ISSN

0264-8377

e-ISSN

1873-5754

Volume of the periodical

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Issue of the periodical within the volume

October 2025

Country of publishing house

GB - UNITED KINGDOM

Number of pages

14

Pages from-to

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UT code for WoS article

001510138500001

EID of the result in the Scopus database

2-s2.0-105007810009