As AI tools become more integrated into everyday life, their potential to support marginalized communities, such as migrant domestic workers (MDWs), has gained increasing attention. For many MDWs, particularly in Hong Kong where over 350,000 women work under often challenging conditions, AI-powered chatbots can serve as accessible sources of emotional support, reliable information, and even crisis assistance. Yet, the adoption of such technologies is far from straightforward.
A recent research initiative led by Prof. Jeffry Oktavianus explored the motivations and barriers shaping chatbot adoption among Indonesian MDWs. The study revealed that while MDWs are interested in using chatbots for both practical and psychosocial reasons, their uptake is often limited by structural challenges, such as low digital literacy, and psychological factors, including mistrust of new technologies and fear of employer monitoring.
To address these barriers, Prof. Oktavianus, in collaboration with Prof. Lydia Catedral, launched a five-month media and digital literacy training program with 40 peer leaders from grassroots MDW organisations. The program equips participants with practical skills in digital content creation and introduces AI tools, including chatbots, that can be used to support their peers. Participants learn how to produce multimedia content relevant to their communities and how to use chatbot platforms as tools for outreach and education.
Beyond the flagship training program, Prof. Oktavianus has also facilitated several standalone digital literacy sessions tailored to MDWs, focusing on critical thinking, online safety, and AI applications in daily life. These sessions have introduced participants to AI chatbots as potential allies in navigating the complexities of work, health, and personal wellbeing in Hong Kong.
This work highlights the meaningful role AI can play in advancing equity and inclusion, especially when technology is paired with education, cultural sensitivity, and community collaboration. As AI continues to reshape communication and support systems, this project offers a valuable model for socially responsible innovation grounded in real-world needs.
