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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50700 - Social and economic geography

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

Land Use Policy

ISSN

0264-8377

e-ISSN

1873-5754

Svazek periodika

—

Číslo periodika v rámci svazku

October 2025

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

14

Strana od-do

—

Kód UT WoS článku

001510138500001

EID výsledku v databázi Scopus

2-s2.0-105007810009