  Novel data sensing and AI technologies are finding practical use in the
analysis of crisis resilience, revealing the need to consider how responsible
artificial intelligence (AI) practices can mitigate harmful outcomes and
protect vulnerable populations. In this paper, we present a responsible AI
roadmap that is embedded in the Crisis Information Management Circle. This
roadmap includes six propositions to highlight and address important challenges
and considerations specifically related to responsible AI for crisis resilience
management. We cover a wide spectrum of interwoven challenges and
considerations pertaining to the responsible collection, analysis, sharing, and
use of information such as equity, fairness, biases, explainability and
transparency, accountability, privacy and security, inter-organizational
coordination, and public engagement. Through examining issues around AI systems
for crisis resilience management, we dissect the inherent complexities of
information management and decision-making in crises and highlight the urgency
of responsible AI research and practice. The ideas laid out in this paper are
the first attempt in establishing a roadmap for researchers, practitioners,
developers, emergency managers, humanitarian organizations, and public
officials to address important considerations for responsible AI pertaining to
crisis resilience management.
