Girl Effect has been a sector leader in Artificial Intelligence (AI) and Machine Learning (ML) for years, leveraging this technology to create new, custom solutions specific to girls’ experiences.

We currently have three award-winning sexual health chatbots (Big Sis, Bol Behen, WAZZII) that are designed to equip adolescent girls and young women with accurate information about their health and to connect them with trusted local service providers. These chatbots are built using AI and ML on a database of mix-coded languages to answer questions and speak in terms girls use and understand.

This is transforming local health ecosystems and revolutionizing how adolescent girls and young women access healthcare.

As we continue to explore this technology, we want to share all that we’ve learned to help others develop innovative AI solutions that positively impact young people.

The Girl Effect Podcast

The Girl Effect Podcast is a new, limited series podcast that breaks through the noise surrounding mainstream Artificial Intelligence to highlight how this technology can be applied to empower and uplift girls. Each episode airs weekly. Tune in to our Spotify for more!

Episode 1 – Putting Girls at the Center

Episode 2 – The Cool Factor: Branding and Youth Engagement

Episode 3 – UX for AI: Conversational Design

Episode 4 – ABCs of AI: Understanding Language
Coming soon!

Episode 5 – Safety First: Safeguarding in a Digital Environment
Coming soon!

Episode 6 – Chatbots as a Vehicle for Social Behavior Change
Coming soon!

Episode 7 – The Ultimate Feedback Loop: Measurement and Evaluation
Coming soon!

Read our Vision Statement

Girl Effect recently released a report on “Artificial Intelligence & Machine Learning Vision for Family Planning Chatbots,” which takes a deeper dive into the current state of AI and its potential to revolutionize digital products for youth, especially those in the Global South.

The document outlines learnings and insights from Girl Effect’s approach and addresses the key questions, challenges, and opportunities to use this technology to build a more equitable health ecosystem for all.

We could not have done this work without the support from the following partners: