AI in Emergency Management: Ethical Considerations and Challenges

Abstract

The integration of Artificial Intelligence (AI) in emergency management presents opportunities to improve crisis response and recovery efforts. However, it also brings forth a range of issues and hurdles that require navigation. This study delves into the implications of implementing AI in emergency management focusing on aspects like bias and discrimination, transparency and clarity, privacy and security data accuracy and accessibility ethical decision-making processes, public trust and acceptance safety measures and regulations among others. By examining real-world instances and potential future scenarios, we shed light on the impacts and moral dilemmas arising from the use of AI during emergencies. The study advocates for crafting frameworks and guidelines while actively engaging the public in governing AI to ensure responsible and efficient utilization of this technology in such a crucial domain. By tackling these challenges head on, we seek to contribute to the conversation about harnessing AI’s capabilities, in emergency management while upholding ethical standards and safeguarding the rights and dignity of affected communities.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 30 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.