The Indonesia AI Institute (IAII), in collaboration with UN Women, organized a dedicated AI Literacy Session for the internal team of UN Women Indonesia. This initiative represents a concrete effort to equip professionals working in women’s empowerment with a deeper understanding of Artificial Intelligence (AI)—not only in terms of how to use the technology, but also how to think critically about its growing influence on society and everyday life.
The session was founded on an important realization: understanding AI is no longer optional but essential, particularly for those working on the front lines of women’s empowerment. In a world increasingly shaped by algorithms and data-driven systems, women must not remain merely subjects of data collection and analysis. Instead, they should be active participants in designing, questioning, and overseeing the technologies that influence their lives and communities.
The program covered five key topics:
- What is AI and How Does It Work?
- Types of AI
- Hands-on Practice and Interactive Exploration: A practical session that enabled participants to directly explore AI tools and gain a real-world understanding of how AI systems function.
- AI Risks: An examination of the potential risks associated with AI, including the identification of vulnerable groups that may be disproportionately affected by technological developments.
- AI Governance: A discussion on how AI can be developed and deployed in ways that are ethical, transparent, accountable, and equitable.
The collaboration between IAII and UN Women reflects a shared commitment to fostering an AI ecosystem that is both inclusive and gender-responsive. As the United Nations entity dedicated to gender equality and women’s empowerment, UN Women brings extensive expertise and a strong institutional framework for integrating gender perspectives into technology adoption and digital transformation initiatives.
Through initiatives such as this, IAII and UN Women aim to ensure that women are not only beneficiaries of technological progress but also active contributors to the development of a more equitable, responsible, and inclusive AI-driven future.