International Relations

The United States to present a first-of-its-kind resolution at the UN calling for equal worldwide access to AI

  • The United States is leading an initiative at the United Nations to establish regulations for artificial intelligence (AI).
  • The draft resolution acknowledges the rapid advancement of AI and strives to reduce the digital divide between countries.
  • Around three months before the declaration, the United States began consultations with all 193 UN member nations.
  • It intends to ensure that governments have the required capacity to leverage technology for disease detection and flood prediction. 

Need global support to pass the resolution:

  • For Principles: The resolution seeks global support for a set of principles for developing and applying AI. It aims to steer the usage of AI systems for good purposes while mitigating associated hazards.
  • If accepted, the resolution will be considered a historic step towards supporting safe, secure, and trustworthy AI on a worldwide scale.
  • Consensus Support: Following many versions, the resolution received unanimous support from all member nations. It will be formally considered later this month.
  • Non-legally binding: Resolutions of the General Assembly, unlike those of the Security Council, are not legally binding. However, they are useful markers of world opinion.

How will it have a good impact on society as a whole?

AI may play an important role in both detecting diseases and predicting floods by using numerous data sources, advanced algorithms, and computer capacity.

Disease Detection with AI:

  • Medical Imaging Analysis: AI algorithms may examine medical pictures such as X-rays, MRI scans, and CT scans to look for abnormalities or indicators of diseases like cancer, TB, or pneumonia.
    • Deep learning models, such as convolutional neural networks (CNNs), have demonstrated high accuracy in detecting patterns in medical images.
  • Health Monitoring and Predictive Analytics: AI-powered health monitoring devices can continuously collect data on heart rate, blood pressure, and glucose levels.
    • Machine learning algorithms can analyse this data to find anomalies or early indicators of sickness, allowing for timely intervention and prevention. 
  • Diagnostic Decision Support Systems: AI-powered diagnostic systems can help healthcare practitioners diagnose diseases by analysing patient data, symptoms, medical history, and lab test results.
    • These systems can make precise and fast recommendations, which improves diagnostic accuracy and efficiency.

Flood Prediction with AI:

  • AI-based flood prediction involves data analysis and modelling. To create predictive models, AI algorithms can analyse a variety of data sources, including weather patterns, geography, soil moisture, river levels, and past flood data. Machine learning approaches such as regression, decision trees, and neural networks may detect complicated correlations between these variables and predict the likelihood and severity of flooding.
  • Remote Sensing and Satellite Imagery: Artificial intelligence (AI) can analyse satellite imagery and remote sensing data to track changes in land use, vegetation, and water bodies. This data can be used to evaluate flood risk and forecast flood events in sensitive locations.
  • Real-Time Monitoring and Early Warning Systems: AI-powered sensors and monitoring equipment can continuously collect information about rainfall, river levels, and water flow rates. Machine learning algorithms can analyse this data in real time to spot rapid changes or abnormalities that indicate an impending flood. Early warning systems can then notify authorities and communities, allowing them to take precautions and evacuate residents as needed.


Worldwide agreement on AI principles is crucial for moving forward. Continued efforts to build regulatory frameworks and assist developing nations are critical. AI’s contribution in disease detection and flood prediction demonstrates its ability to efficiently address global concerns. 


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