AI and Machine Learning for Bridging the Digital Gender Gap An Overview

Artificial Intelligence (AI) and Machine Learning (ML) have tremendous potential to reduce the digital gender gap through tailored educational programs, personalized learning experiences, and targeted interventions. By analyzing gender-disaggregated data, AI can identify gaps and biases in digital access and usage, enabling policymakers to design more inclusive digital policies. However, achieving this requires a concerted effort to ensure gender bias is not perpetuated by the AI systems themselves, by diversifying the workforce that designs them and the data they are trained on.

Artificial Intelligence (AI) and Machine Learning (ML) have tremendous potential to reduce the digital gender gap through tailored educational programs, personalized learning experiences, and targeted interventions. By analyzing gender-disaggregated data, AI can identify gaps and biases in digital access and usage, enabling policymakers to design more inclusive digital policies. However, achieving this requires a concerted effort to ensure gender bias is not perpetuated by the AI systems themselves, by diversifying the workforce that designs them and the data they are trained on.

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