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Let’s understand these goals and how AI supports them through the following examples:
1. No Poverty aims to end poverty in all its forms everywhere. Artificial Intelligence
(AI) can help achieve this goal by analysing patterns of poverty across different
regions, enabling governments and organisations to target aid more effectively.
Additionally, AI can forecast economic risks, allowing timely interventions to
prevent vulnerable communities from falling deeper into poverty.
Example: In a low-income region, an AI project analyses data on income, jobs,
and education to identify the poorest families. The project helps direct financial
aid and training programs to those most in need, reducing poverty effectively.
2. Zero Hunger aims to end hunger, improve nutrition, and promote sustainable
agriculture. AI helps by monitoring crops, predicting yields, and managing
smart irrigation systems. These technologies enable farmers to use water
efficiently, detect crop diseases early, and increase food production sustainably
to feed more people.
Example: In a village facing food shortages, an AI-based farming project uses sensors and
drones to monitor crops and soil. The AI guides farmers on when to water and harvest,
improving yields and reducing hunger.
3. Good Health and Well-Being aims to ensure healthy lives and promote well-
being for all people. AI supports this goal by assisting in disease diagnosis,
continuously monitoring patients’ health, and providing AI-assisted treatments.
These technologies help healthcare professionals deliver faster, more accurate
care and improve overall health outcomes.
Example: In a remote area with limited doctors, an AI-powered health platform
helps diagnose diseases by analysing symptoms and medical images. It also
monitors patients’ vital signs remotely and suggests treatment plans, improving
healthcare access and saving lives.
4. Quality Education aims to ensure inclusive and equitable education for all.
AI helps achieve this by providing access to educational resources, offering
personalised learning experiences tailored to each student’s needs, and
supporting language translation to overcome language barriers. These
technologies make learning more accessible and effective for everyone.
Example: In a rural school, students struggle because textbooks are only in one language.
An AI translation app helps by converting lessons into the students’ native languages,
making learning easier and more inclusive.
5. Gender Equality aims to achieve gender equality and empower all women
and girls. AI can support this goal by monitoring gender bias, promoting
equal opportunities, and analysing gender-based data gaps. These efforts help
ensure fairness and empower women and girls to participate fully in society.
Example: A rural area has fewer girls attending school. The government uses
AI to identify this gap and launches programmes to support girls’ education
and empowerment.
66 Touchpad Artificial Intelligence (Ver. 2.0)-VII

