Artificial intelligence can help address societal problems in areas like healthcare, education, financial inclusion and more. The document discusses two examples: (1) Using machine learning to help tuberculosis health workers prioritize patients by predicting adherence and outcomes, and (2) Analyzing online mental health forums to understand effective peer support and identify "moments of change". While correlations can be misleading, focused work with domain experts can produce models that achieve accuracy over 70% in predicting moments of change. Overall, AI is an amplifier that must be developed responsibly with societal impact in mind.