In my previous article “AI for Crisis Management: Impacts, Challenges, Best Practices”, I tried to explore the impacts and importance of crises, challenges, and best practices of using AI for crisis management. In this article, I would like to present a new non-profit AI project for crisis management in the EU, and I also prepared a complete presentation and proposal for the project (please check the attachments).

Crisis situations, such as natural disasters, pandemics, conflicts, or cyberattacks, pose significant challenges and threats to the safety and well-being of individuals and communities. In such scenarios, timely and accurate information, effective decision-making, and coordinated actions are crucial to mitigate the impacts and facilitate recovery. However, the complexity and uncertainty of crisis situations often overwhelm the existing crisis management systems and tools, leading to information overload, communication breakdowns, and poor outcomes.

To address these challenges, we propose CrisisAI, a novel research hybrid generative and extractive AI project that leverages state-of-the-art ML, deep learning, generative and extractive AI techniques to provide intelligent and automated solutions for crisis management. CrisisAI is an open-source system that can be easily implemented and customized for different types of crises and contexts. It is designed to be user-friendly, adaptable, and trustworthy, ensuring that the users can interact with it in natural language and have control over its actions and outputs.

CrisisAI consists of more than 10 different modules that can perform various functions, such as:

• Information filtering: CrisisAI can collect, analyze, and synthesize relevant information from multiple sources, such as social media, news outlets, official reports, or sensors. It can filter out noise, misinformation, and irrelevant data, and provide concise and accurate summaries and insights to the users.
• Situational awareness: CrisisAI can monitor and assess the current status and dynamics of the crisis situation, such as the location, severity, impact, and evolution of the event. It can also identify and track the needs, risks, and opportunities of the affected population and environment.
• Decision-making: CrisisAI can support the users in making informed and optimal decisions during a crisis. It can generate and evaluate different scenarios and options based on the available information and objectives. It can also provide recommendations and explanations for its suggestions.
• Knowledge empowerment: CrisisAI can enhance the knowledge and skills of the users by providing relevant and timely information, and guidance, and receive feedback. It can also facilitate learning and knowledge sharing among the users through interactive dialogues and tutorials.
• Collaboration: CrisisAI can foster collaboration among different stakeholders involved in crisis management, such as individuals, organizations, or authorities. It can enable effective communication, coordination, and cooperation among them by establishing common goals, roles, and protocols. It can also mediate conflicts and disagreements among them by providing impartial and objective information.
• Coordination: CrisisAI can facilitate coordination with relevant organizations and individuals during crisis situations. It generates compelling and persuasive messages that effectively convey the urgency and significance of the situation, while also requesting assistance or collaboration.

CrisisAI can also help users with different needs and tasks depending on their roles and situations. For example:

• General advice: CrisisAI can provide general advice to users on how to prepare for, respond to, or recover from a crisis. It can answer common questions or queries related to the crisis situation or its solutions.
• Individual needs: CrisisAI can assist individuals with their specific needs during a crisis. For example:
  
  • Geolocation management: CrisisAI can help individuals locate themselves or their loved ones during a crisis. It can also provide directions or suggestions on where to go or stay based on their safety or comfort.
  • Communication with organizations: CrisisAI can help individuals communicate with relevant organizations during a crisis. It can help them report incidents or request assistance from emergency services or humanitarian agencies. It can also help them access information or services from government agencies or NGOs.
  • Virtual doctor: CrisisAI can act as a virtual doctor for individuals who need medical attention during a crisis. It can diagnose their symptoms or conditions based on their inputs or sensors. It can also prescribe treatments or medications based on their availability or suitability.
  • Immigrants management: CrisisAI can help immigrants who are affected by a crisis in a foreign country. It can help them understand their rights and obligations in their host country. It can also help them access information or services related to their legal status or integration.
  • Kidnapping management: CrisisAI can help individuals who are kidnapped or held hostage during a crisis. It can help them communicate with their captors or rescuers. It can also help them cope with their psychological stress or trauma.
• Organization needs: CrisisAI can assist organizations with their specific needs during a crisis. For example:
  
  • Risk assessment: CrisisAI can help organizations assess their risks during a crisis. It can identify their vulnerabilities or exposures to potential threats or hazards. It can also estimate their impacts or consequences based on their likelihood or severity.
  • Contingency planning: CrisisAI can help organizations plan for contingencies during a crisis. It can help them identify their objectives or priorities in case of an emergency. It can also help them design and implement their contingency plans based on their resources or capabilities.
  • Crisis response: CrisisAI can help organizations respond to a crisis. It can help them activate and execute their crisis response plans based on the situation or events. It can also help them monitor and evaluate their crisis response performance and outcomes.
  • Crisis recovery: CrisisAI can help organizations recover from a crisis. It can help them restore their normal operations or functions after a crisis. It can also help them learn from their crisis experience and improve their resilience or preparedness for future crises.

CrisisAI is a multilingual, reliable, responsive, collaborative, and extensible system that can be integrated with other crisis management systems and tools. It can operate in different languages and dialects, ensuring that it can reach and serve diverse users and contexts. It can also handle different types of data and information ensuring that it can process and provide rich and comprehensive information. Moreover, it can adapt to different types of crises and scenarios, ensuring that it can cope with the changing and evolving nature of crisis situations.

CrisisAI is a system that can improve the response time and accuracy of information provided during a crisis, making it easier for people to get help when they need it most. It is also a system that can help people and organizations to better cope with the crisis, minimize human losses and damages, and recover from the crisis.

Due diligence is a vital process in CrisisAI’s development process that ensures the quality and performance of CrisisAI. It helps to verify the system’s capabilities and compliance, as well as to mitigate any potential risks and vulnerabilities. Due diligence involves testing, auditing, validating, and certifying the system based on various criteria and standards, such as functionality, usability, reliability, security, privacy, ethics, or legality. Due diligence also involves engaging with different stakeholders, such as users, experts, regulators, or society, to solicit their feedback and input on the system’s design and implementation.

CrisisAI is a novel research hybrid AI project that aims to provide intelligent and automated solutions for crisis management. It is based on rigorous research and development methods and follows the best practices and principles of trustworthy AI. It is also aligned with the Futurium vision of creating a human-centric digital society that empowers people and respects their values.

We invite you to join us in our journey of developing and deploying CrisisAI as a best practice in Futurium. We welcome your support for the implementation of CrisisAI in the EU and beyond. We also welcome your suggestions and comments on how to improve CrisisAI and make it more useful and beneficial for everyone.

Thank you for your interest in CrisisAI. We look forward to hearing from you soon.

For more details, please refer to the attached presentation and proposal files.

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Please don’t hesitate to write me about any topics regarding CrisisAI and similar cases.

Ali Kazemi

Carrefour Security & Safety Department Manager
Artificial Intelligence Researcher & Developer
email: eng.ali.kazemi@outlook.com