Unique Presentation Identifier:
V04
Program Type
Undergraduate
Faculty Advisor
Dr. Bethany Swindell
Document Type
Poster
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Location
Online
Start Date
29-4-2025 8:00 AM
Abstract
It has only been in recent years that Artificial Intelligence (AI) has entered the daily lives and thoughts of common civilization. However, out of the common eye Artificial Intelligence (AI) has become a critical tool in emergency management (EM), evolving from a behind - the -scenes technology to a prominent force in modern-day operations. It is clear that AI will only continue to flourish within the world of emergency response and emergency management. With such elements of power and progress it becomes important to question the very systems we rely on . This research will examine the role of AI in improving emergency response efficiency and decision-making, with a focus on both the technological and human factors involved. The research question driving this investigation is: How has AI improved emergency response efficiency and decision-making, and what challenges remain?
To address this question, the research employs descriptive statistics to analyze existing datasets related to AI’s applications in emergency management. These datasets, sourced from peer-reviewed studies, industry reports, and governmental databases, include key variables such as AI’s impact on response times, resource allocation, and decision -making accuracy during crises. By analyzing these variables, the research will provide a comprehensive understanding of AI’s contributions to EM, identifying its strengths, weaknesses, and potential growth.
The findings of this research are expected to demonstrate that AI has significantly enhanced emergency response operations, particularly in terms of speed, resource allocation, enhanced rebuilding efforts, and decision accuracy. AI-driven systems have improved real-time decision-making during crises, allowing emergency responders to act more swiftly and allocate resources more efficiently. However, challenges such as algorithmic bias, ethical dilemmas, and data security will be detailed as areas requiring further attention and improvement .
In conclusion, while AI offers substantial benefits to emergency management, the research underscores the importance of addressing ethical considerations and the integration of human oversight to ensure that continued research and regulation are carried out to maximize the benefits while mitigating risks. This work contributes to a more nuanced understanding of AI's role in emergency management, offering insights into how the technology can be leveraged responsibly for the benefit of society.
Recommended Citation
Chapman, Hannah K., "AI In Emergency Management" (2025). ATU Student Research Symposium. 19.
https://orc.library.atu.edu/atu_rs/2025/2025/19
Poster
AI In Emergency Management
Online
It has only been in recent years that Artificial Intelligence (AI) has entered the daily lives and thoughts of common civilization. However, out of the common eye Artificial Intelligence (AI) has become a critical tool in emergency management (EM), evolving from a behind - the -scenes technology to a prominent force in modern-day operations. It is clear that AI will only continue to flourish within the world of emergency response and emergency management. With such elements of power and progress it becomes important to question the very systems we rely on . This research will examine the role of AI in improving emergency response efficiency and decision-making, with a focus on both the technological and human factors involved. The research question driving this investigation is: How has AI improved emergency response efficiency and decision-making, and what challenges remain?
To address this question, the research employs descriptive statistics to analyze existing datasets related to AI’s applications in emergency management. These datasets, sourced from peer-reviewed studies, industry reports, and governmental databases, include key variables such as AI’s impact on response times, resource allocation, and decision -making accuracy during crises. By analyzing these variables, the research will provide a comprehensive understanding of AI’s contributions to EM, identifying its strengths, weaknesses, and potential growth.
The findings of this research are expected to demonstrate that AI has significantly enhanced emergency response operations, particularly in terms of speed, resource allocation, enhanced rebuilding efforts, and decision accuracy. AI-driven systems have improved real-time decision-making during crises, allowing emergency responders to act more swiftly and allocate resources more efficiently. However, challenges such as algorithmic bias, ethical dilemmas, and data security will be detailed as areas requiring further attention and improvement .
In conclusion, while AI offers substantial benefits to emergency management, the research underscores the importance of addressing ethical considerations and the integration of human oversight to ensure that continued research and regulation are carried out to maximize the benefits while mitigating risks. This work contributes to a more nuanced understanding of AI's role in emergency management, offering insights into how the technology can be leveraged responsibly for the benefit of society.