Privacy-Preserving Active Learning for heritage language revitalization programs in carbon-negative infrastructure

The author recounts a personal journey sparked by realizing the carbon footprint of an AI model for endangered languages, leading to research into privacy-preserving, environmentally sustainable AI systems. This moment of cognitive dissonance initiated two years of exploration into building AI that could learn from sensitive data in an eco-friendly manner.