IDEAS home Printed from https://ideas.repec.org/a/sae/fbbsrw/v15y2026i1p11-19.html

Artificial Intelligence in Fire Safety: A Critical Perspective on Policy, Stakeholders and Emerging Technologies in India

Author

Listed:
  • Rajesh Kumar
  • Amarjeet Kaur
  • Hamendra Kumar Dangi
  • Priyanka Kumari
  • Navneet Kumar

Abstract

Artificial intelligence (AI) is transforming fire safety, informing prevention, detection and response processes. However, the adoption of AI for fire safety services also has grave concerns about the authority for making decisions, influence from stakeholders and ethical considerations, given the context of the Indian scenario. This article critically examines AI’s implications for the seven core domains: policymaking, business organizations (public and private sectors), fire safety professionals, social norms for safety, orientation towards research, emerging tech and areas for further research investigation. Based on the available literature and real-life applications, this article discusses AI’s demonstrated effectiveness, limitations and potential for shaping the future of fire safety for India. Additionally, this article examines the forces shaping AI adoption and its socio-economic implications.

Suggested Citation

  • Rajesh Kumar & Amarjeet Kaur & Hamendra Kumar Dangi & Priyanka Kumari & Navneet Kumar, 2026. "Artificial Intelligence in Fire Safety: A Critical Perspective on Policy, Stakeholders and Emerging Technologies in India," FIIB Business Review, , vol. 15(1), pages 11-19, January.
  • Handle: RePEc:sae:fbbsrw:v:15:y:2026:i:1:p:11-19
    DOI: 10.1177/23197145251342714
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/23197145251342714
    Download Restriction: no

    File URL: https://libkey.io/10.1177/23197145251342714?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Galaz, Victor & Centeno, Miguel A. & Callahan, Peter W. & Causevic, Amar & Patterson, Thayer & Brass, Irina & Baum, Seth & Farber, Darryl & Fischer, Joern & Garcia, David & McPhearson, Timon & Jimenez, 2021. "Artificial intelligence, systemic risks, and sustainability," Technology in Society, Elsevier, vol. 67(C).
    2. Saad Mazhar Khan & Imran Shafi & Wasi Haider Butt & Isabel de la Torre Diez & Miguel Angel López Flores & Juan Castanedo Galán & Imran Ashraf, 2023. "A Systematic Review of Disaster Management Systems: Approaches, Challenges, and Future Directions," Land, MDPI, vol. 12(8), pages 1-37, July.
    3. Omoshola S. Owolabi & Prince C. Uche & Nathaniel T. Adeniken & Christopher Ihejirika & Riyad Bin Islam & Bishal Jung Thapa Chhetri, 2024. "Ethical Implication of Artificial Intelligence (AI) Adoption in Financial Decision Making," Computer and Information Science, Canadian Center of Science and Education, vol. 17(1), pages 1-49, May.
    4. Venkatesh Kodur & Puneet Kumar & Muhammad Masood Rafi, 2019. "Fire hazard in buildings: review, assessment and strategies for improving fire safety," PSU Research Review, Emerald Group Publishing Limited, vol. 4(1), pages 1-23, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tironi, Martín & Rivera Lisboa, Diego Ignacio, 2023. "Artificial intelligence in the new forms of environmental governance in the Chilean State: Towards an eco-algorithmic governance," Technology in Society, Elsevier, vol. 74(C).
    2. Stefanos Dosis & George P. Petropoulos & Kleomenis Kalogeropoulos, 2023. "A Geospatial Approach to Identify and Evaluate Ecological Restoration Sites in Post-Fire Landscapes," Land, MDPI, vol. 12(12), pages 1-23, December.
    3. Agbodoh-Falschau, Kouassi Raymond & Ravaonorohanta, Bako Harinivo, 2023. "Investigating the influence of governance determinants on reporting cybersecurity incidents to police: Evidence from Canadian organizations’ perspectives," Technology in Society, Elsevier, vol. 74(C).
    4. Sevda Demiröz Yıldırım & Kader Demiröz, 2025. "Fire at the Kartalkaya Ski Centre hotel and evaluation of the response efforts," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(11), pages 13869-13873, June.
    5. Lv, David & Cho, Erin, 2025. "The unseen carbon cost of AI workforce: A behavioral theory perspective of environmental scalability," Business Horizons, Elsevier, vol. 68(6), pages 759-776.
    6. Jun Xu, 2024. "AI in ESG for Financial Institutions: An Industrial Survey," Papers 2403.05541, arXiv.org.
    7. Siravat Teerasoponpong & Sainatee Chernbumroong & Varattaya Jangkrajarng, 2025. "Meta‐Analysis on Sustainable Development Challenges: Lessons From Asia‐Pacific Industrial Estates," Business Strategy and the Environment, Wiley Blackwell, vol. 34(7), pages 9490-9512, November.
    8. Mao, Qian & Li, Yilong, 2024. "Blockchain evolution, artificial intelligence and ferrous metal trade," Resources Policy, Elsevier, vol. 98(C).
    9. Teichmann, Fabian & Boticiu, Sonia & Sergi, Bruno S., 2023. "RegTech – Potential benefits and challenges for businesses," Technology in Society, Elsevier, vol. 72(C).
    10. Adekoya, Oluwasegun B. & Oliyide, Johnson A. & Saleem, Owais & Adeoye, Habeeb A., 2022. "Asymmetric connectedness between Google-based investor attention and the fourth industrial revolution assets: The case of FinTech and Robotics & Artificial intelligence stocks," Technology in Society, Elsevier, vol. 68(C).
    11. Shatha Mustafa Abdallah Al Qudah & José Luis Fuentes Bargues & Pablo Ferrer Gisbert & Hani Na'el Al‐Abdallat, 2025. "AI‐Driven Risk Management to Promote SDGs? An Exploratory Study in Jordan Construction Sector," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(S1), pages 1107-1123, November.
    12. Gillian K. Hadfield & Jack Clark, 2023. "Regulatory Markets: The Future of AI Governance," Papers 2304.04914, arXiv.org, revised Feb 2026.
    13. Syed Asad Shabbir Bukhari & Imran Shafi & Jamil Ahmad & Hammad Tanveer Butt & Tahir Khurshaid & Imran Ashraf, 2025. "Enhancing flood monitoring and prevention using machine learning and IoT integration," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(4), pages 4837-4864, March.
    14. Ayman Batisha, 2023. "A lighthouse to future opportunities for sustainable water provided by intelligent water hackathons in the Arabsphere," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    15. Syed Asad Shabbir Bukhari & Imran Shafi & Jamil Ahmad & Santos Gracia Villar & Eduardo Garcia Villena & Tahir Khurshaid & Imran Ashraf, 2025. "Review of flood monitoring and prevention approaches: a data analytic perspective," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(5), pages 5103-5128, March.
    16. Kumar, Dileep & Alam, Morshed & Zou, Patrick X.W. & Sanjayan, Jay G. & Memon, Rizwan Ahmed, 2020. "Comparative analysis of building insulation material properties and performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    17. Ceray Aldemir & Tuğba Uçma Uysal, 2025. "Artificial Intelligence for Financial Accountability and Governance in the Public Sector: Strategic Opportunities and Challenges," Administrative Sciences, MDPI, vol. 15(2), pages 1-19, February.
    18. Coeckelbergh, Mark & Sætra, Henrik Skaug, 2023. "Climate change and the political pathways of AI: The technocracy-democracy dilemma in light of artificial intelligence and human agency," Technology in Society, Elsevier, vol. 75(C).
    19. Khaliq, Abdul & Waqas, Ali & Nisar, Qasim Ali & Haider, Shahbaz & Asghar, Zunaina, 2022. "Application of AI and robotics in hospitality sector: A resource gain and resource loss perspective," Technology in Society, Elsevier, vol. 68(C).
    20. Wang, Miao & Wang, Yiduo & Feng, Chao, 2025. "Artificial intelligence, institutional environment, and corporate green transformation: Evidence from China's resource-based sector," International Review of Economics & Finance, Elsevier, vol. 103(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:fbbsrw:v:15:y:2026:i:1:p:11-19. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.