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AI Solving Sustainable Development Goals

AI for global good — Accelerating the SDGs

How can the power of AI be harnessed for social good? How can it accelerate the SDGs? There are a growing number of use cases for AI enabling the SDGs. Here are a few of them:


No Poverty

AI will provide real-time resource allocation through satellite mapping and data analysis of poverty.


Zero Hunger

Agriculture productivity is increased through predicative analysis from imaging with automated drones and from satellites. Nearly 50% of crops are lost through waste, over consumption and production inefficiencies. Livestock production losses are 78%.


Good Health and Well-being

Preventative healthcare programs and diagnostics are significantly improved through AI leading to new scientific breakthroughs. There are 8 billion mobile devices with smartphone cameras being used to diag­nose heart, eye and blood disorders; microphone and motion sensors yielding insights into bone density and osteoporosis — and managing cancer, diabetes and chronic illness remote care.


Quality Education

Virtualized, intelligent mentors and responsive personalized learning is revolutionizing education, and improving participation and outcomes — all powered by AI. Online providers such as Coursera have AI-produced granular information for effective learning. Big data analysis is improv­ing graduation rates of low-income and first-generation college stu­dents by 30%, spotting warning signs before dropout to allow targeted interventions.


Gender Equality

By identifying and correcting for gender bias, further automat­ing/augmenting tasks, AI is empowering women for growth and new opportunities.


Clean Water and Sanitation

The Internet-of-Things (IoT) and sensors feeding into the AI of Everything are predicting sanitation and consumption patterns for improved safe water and sanitation provisioning.


Affordable and Clean Energy

Green energy in all its forms is continuously improving for increased output and more efficiency by AI real-time analysis.


Decent Work and Economic Growth

Despite legitimate concerns about automation replacing jobs, AI aug­mentation and targeted automation with intelligent devices can improve the work environment, increase productivity, and be a significant driver of economic growth.


Industry, Innovation, and Infrastructure

New hybrid manufacturing incorporating AI, IoT sensors, and 4D printing is reshaping industries, representing the ’A Triple C’, and yielding expo­nential innovation unprecedented in world history.


Reduced Inequalities

Human augmentation using AI-inspired devices both internally and externally provides super senses and knowledge, enhanced physical capabilities, and corrects disabilities yielding a more equal and inclusive society.


Sustainable Cities and Communities

The AI of Everything, the digital AI mesh, fed by the ubiquitous IoT, smart devices, and wearables, is already impacting smart cities and helping to create sustainable communities.


Responsible Consumption and Production

AI is yielding optimal consumption and production levels with vertical green farms, eliminating waste, and vastly improving yields and resource efficiency.


Climate Action

Climate change data analysis and climate modeling infused with AI pre­dicts climate-related problems and disasters.


Life Below Water

Pattern recognition can track marine-life migration, population levels, and fishing activities to enhance sustainable marine ecosystems and combat illegal fishing.


Life on Land

Pattern recognition, game theory, and wide applications of computer science can track land-animal migration, population levels, and hunting activities to enhance sustainable land ecosystems and combat ille­gal poaching.


Peace, Justice, and Strong Institutions

Thoughtful application of AI can reduce discrimination, corruption, and drive broad access to e-government, personalized, and responsive intel­ligent services. AI can significantly stay ahead of global cyberthreats, the Cyber Kill Chain, in a manner not possible before.


Partnerships for the Goals

Multi-sectoral collaboration is essential for the safe, ethical, and benefi­cial development of AI. ITU is working with other United Nations agen­cies, and the XPRIZE Foundation, to organize the “AI for Good Global Summit” in Geneva, Switzerland, from 7 to 9 June. The summit will bring together governments, industry, academia and civil society to explore the responsible development of human-centric AI in solving humanity’s grand challenges, including accelerating the all-important SDGs.


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