COMMITTEE: Special committee on AI
SUBMITTED BY: India
QUESTION OF: The issue of the distribution of AI to developing countries
SIGNATORIES:
Emphasising the importance of ensuring that the benefits of AI are shared equitably among all
member states, particularly considering the potential impact on economic development, social
progress, and the achievement of the Sustainable Development Goals,
Deeply conscious that globally one-third of the population, or 2.6 billion people, remain offline
in 2023,
Affirming the commitment to promoting the peaceful and responsible use of AI in accordance
with international law, human rights, and ethical considerations,
Expresses it's satisfaction that AI may deliver an additional economic output of around US$13
trillion by 2030, increasing global GDP by about 1.2 % annually,
Highlighting the significance of capacity-building and technology transfer to enhance the
capabilities of developing countries in harnessing the potential of AI for their socio-economic
development,
1. Calls upon the international community to establish and strengthen partnerships to
facilitate the transfer of AI knowledge, skills, and technologies to developing countries.
These partnerships should:
a) help develop capacity-building programs, research collaboration, and technology-
sharing initiatives;
b) help to enhance international cooperation on AI-related issues, including but not
limited to policy development, regulatory frameworks, and best practices;
2. Encourages Member States, in collaboration with relevant international organisation to
formulate inclusive strategies to promote and facilitate the equitable and beneficial
distribution of AI technologies to developing countries such as:
a) Healthcare Enhancement:
Objective: Implement AI-driven diagnostic tools and predictive analytics to enhance
healthcare outcomes.
Implementation: Develop a national health data platform to facilitate the sharing of
anonymised patient data for AI-driven research. Deploy AI algorithms for early detection
of diseases, personalised treatment plans, and optimising healthcare resource
allocation.
b) Education Revolution:
Objective: Enhance the quality of education and accessibility through AI-powered
technologies.
Implementation: Introduce personalised learning platforms that adapt to individual
student needs, leveraging AI for smart tutoring and real-time feedback. Implement AI-
driven data analytics to identify and address gaps in the education system, ensuring a
more inclusive and effective learning environment.
c) Smart Agriculture for Food Security:
Objective: Improve agricultural productivity and sustainability through AI applications.
Implementation: Deploy AI-powered drones and sensors for precision farming, enabling
efficient resource utilisation and early detection of crop diseases. Develop predictive
models for weather patterns to assist farmers in making informed decisions. Implement
AI-driven supply chain optimisation for better distribution of agricultural products.
d) Sustainable Energy Management:
Objective: Optimise energy consumption and promote renewable energy sources.
Implementation: Utilise AI algorithms to analyse energy consumption patterns and
implement smart grids for efficient energy distribution. Integrate AI in managing
renewable energy sources such as solar and wind power to ensure a stable and
sustainable energy supply.
e) Government Services Optimisation:
Objective: Improve public services and governance through AI-driven solutions.
Implementation: Implement AI-powered chatbots for citizen services to enhance
accessibility and efficiency. Utilise predictive analytics to optimise government resource
allocation, streamline bureaucratic processes, and improve overall governance. With the
introduction of
3. Stresses the importance of promoting ethical considerations in the development and
deployment of AI technologies, with the aim of ensuring responsible and accountable
use that respects human rights and avoids exacerbating existing inequalities;
4. Calls for the establishment of "Aim" (Artificial Intelligence Mechanism) a mechanism to
support developing countries in their efforts to adopt and adapt AI technologies.
Focused on:
a)Building human capacity, infrastructure, and regulatory frameworks conducive to the
responsible deployment of AI.
b)Creation of multilateral funds to support this mechanism.
5. Expresses its commitment to revisiting and updating these resolutions in response to evolving
technological advancements and the changing landscape of AI.
