, launched in November 2022: “Leverage artificial intelligence to support the development of 'client' profiles and scale the dissemination of action alerts." AI is also featured under Pillar 1's strategic outcome seven on Innovation for Risk Knowledge; however, developments in AI provide opportunities to transform the practice of disaster management and support the implementation of all Pillars in the Early Warning System (EWS) value chain.
For example, within the context of Disaster Risk Knowledge (EW4All Pillar 1), AI can be leveraged to contextualize disaster risk information comprehensively to facilitate well-informed and equitable decision-making. AI also holds the capability to enhance the capacity for Detection, Observations, Monitoring, Analysis, and Forecasting of Hazards (EW4All Pillar 2). Warning Dissemination and Communication (EW4All Pillar 3) will see AI optimize information delivery with personalized "client" profiles, ensuring timely, comprehensible, and actionable insights. In terms of Preparedness and Response Capabilities (EW4All Pillar 4), AI can offer new information and communication resources to help people respond to warnings.
It is essential to recognize the potential risks associated with the integration of AI in the EW4All Initiative. These risks encompass issues such as bias and fairness, privacy concerns, reliability, accountability, dependency and resilience, and the potential for unintended consequences. However, these risks can be effectively mitigated through careful design and the implementation of well-defined rules and protocols. By proactively addressing these challenges, it is possible to ensure that the benefits of AI are harnessed while upholding ethical standards and safeguarding the integrity of the EW4All Initiative.
The potential of AI to accelerate processes and solve problems is immense. The use of AI in the international community is still in development and the Secretary General of the United Nations is now convening a multi-stakeholder High-Level Advisory Body for Artificial Intelligence that will frame much of the United Nations' approach to this area of work.
Objectives of AI sub-group
The EW4All AI Sub-Group’s
primary role will be to identify real-world needs and match them with appropriate solutions, ensuring that efforts are implemented effectively.
The EW4All AI Sub-Group has the following objectives:- Support the four EW4All pillars and ensure cross-pillar collaboration: Identify AI solutions for specific use cases that address country needs that support the four pillars of the EW4All initiative, in particular that are cross-pillar.
- Cultivate partnerships and matchmaking: Engage with stakeholders across the private and public sectors to identify AI applications that can be leveraged within the EW4All initiative. Prioritise matchmaking between identified gaps, AI solutions and membership interests and capacities.
- Country pilots: Pilot AI applications in EW4All countries to demonstrate practical implementation and impact with the aim of scaling up.
- Develop resources and tools: Compile AI solutions at various stages of maturity, categorized by EW4All pillars, with a searchable online database to be hosted on this webpage. Upcoming The AI Solutions Catalogue is currently under development.
- Capacity building and awareness: Develop and deliver training sessions to showcase how AI can enhance the effectiveness of early warning systems.
- Fundraising and resource mobilization: Secure funding to support AI application pilots in countries and the overall work of the EW4All AI Sub-Group.
