Illustrative AI Use Cases Across the 17 SDGs

A non exhaustive list

AI models can map poverty using satellite data and optimize cash transfers.

Computer vision monitors crops, AI optimizes food distribution, and models forecast food insecurity.?

Medical imaging AI aids diagnosis, voice AI reduces clinical documentation, and reinforcement learning personalizes treatment.

AI tutors adapt to learners' needs, power multilingual education platforms, and enhance language learning.

AI detects recruitment bias, assists victims, monitors online abuse towards women, and aids missing persons cases.

AI optimizes water networks, predicts droughts/floods, and estimates crop irrigation needs.

AI enables smart grids, predictive wind turbine maintenance, and building energy management.?

AI automates tasks, enhances workplace safety, matches skills to jobs, and reduces hiring bias.

Computer vision improves manufacturing, predictive maintenance reduces downtime, and generative AI aids design.

Assistive AI increases accessibility, alternative credit scoring promotes inclusion.

AI enhances road safety, disaster response, traffic optimization and predictive policing.

Generative AI enables sustainable design, predictive analytics reduce overproduction and waste sortation is automated.?

AI enables emissions monitoring, extreme weather prediction and improved climate modeling.

AI monitors marine life, tracks illegal fishing, enhances recycling and optimizes marine protection.

AI detects deforestation, tracks endangered species, and monitors ecological threats.

NLP extracts opinions on social issues, detects online abuse, and processes legal documents.

AI platforms integrate data for SDG monitoring, synthesize research, and optimize aid allocation.