Page 112 - AI for Good-Innovate for Impact Final Report 2024

AI for Good-Innovate for Impact

Jordan, Israel and Greece. According to media reports, the Corridor will provide a reliable and
cost-effective cross-border ship-to-rail transit network to supplement existing maritime routes.

The Corridor stretching from India to Europe through the Middle East, is marked by a complex
interplay of geographical and socio-economic factors, resulting in diverse disaster risks.
While investors and promoters of the trade corridor are already likely using the necessary
infrastructure codes and standards to withstand these risks, users of the trade corridor such
as freight transporters will need to prepare well for traversing this complex geography safely.
This requires an AI-based Disaster Risk Management Tool that would enable business entities
using the corridor to plan their business processes and prepare for disaster and climate risks.

The proposed tool, AI-PROTECT-IMEC, would offer users of the IMEC trade corridor to access
real-time risk data and undertake proactive steps to manage risk. Likewise, this tool would
also enable the host national and sub-national governments to manage trade and traffic flows
with little disruption and damage due to disasters and extreme climate events. Leveraging AI
algorithms, satellite imagery and locally available risk data, this tool would provide informed
decision-making support, to enhance disaster resilience and sustainable development across
the IMEC region.

Intended Use and Problem Statement: AI-PROTECT-IMEC will be utilized to assess and mitigate
disaster risks, such as earthquakes, floods, landslides, cyclones and industrial accidents, along
the IMEC corridor. The tool addresses the lack of a comprehensive and real-time risk assessment
tailored to the users of the trade corridor at risk sue to IMEC region's unique geographical
and socio-economic characteristics. Existing solutions often lack granularity, timeliness, or
integration across multiple risk factors and governance structures, hindering effective disaster
preparedness and response efforts.

Limitations of Existing Solutions: Current methods for disaster risk assessment often rely on
manual data collection and analysis, leading to delays in decision-making and limited coverage
of risk factors. Traditional approaches may struggle to handle the vast amount of data required
for comprehensive risk informed decision making across diverse contexts. Furthermore, existing
solutions may lack the predictive capabilities necessary for proactive risk management and
mitigation.

Benefits and Drawbacks of AI-Based Approach: AI-PROTECT-IMEC offers automated data
processing, real-time monitoring, and predictive analytics, enabling more accurate and timely
risk assessment. AI algorithms can identify complex patterns or correlations that may not be
apparent through manual methods. However, challenges such as data privacy concerns,
algorithm bias, and the need for specialized expertise in AI implementation must be addressed.
Nevertheless, the potential benefits of using AI for disaster risk mapping in the IMEC corridor
outweigh the drawbacks, offering a valuable tool for enhancing resilience and sustainable
development across the region. Integrating AI-PROTECT-IMEC into the planning and design
processes of IMEC would mainstream disaster risk considerations, ensuring that infrastructure
and development projects are built to withstand potential hazards.

Repository url: N/A

UN Goals:
• SDG 8: Decent Work and Economic Growth
• SDG 9: Industry, Innovation and Infrastructure

96