A Research & Development initiative of Aruvu Collaboratory. It combines and brings together two research proposals, and set across three places.

AI mediated reproductive care infographic tools

Places:

  • Bidar

Fellowship Program

  • Gulbarga
  • Channapatna
  • Kundapura

Objective:

The primary goal of this research is to co-design culturally appropriate AI-mediated infographic tools for reproductive care in the Global South. By leveraging local knowledge and indigenous visual communication techniques, the project aims to address the stigma associated with reproductive health and improve women's well-being.

Key Components (Phases):

  1. Getting Women’s Insights and Validating Design Goals:
    • Engage with up to 100 women per country through surveys, interviews, and focus group discussions.
    • Investigate local socio-cultural practices, traditional methods, and experiences of reproductive stigma.
    • Analyze traditional visual communication methods to inform design decisions.
  2. Codesign with the Community and Stakeholders:
    • Co-design prototypes with up to 50 community participants in India.
    • Involve local stakeholders, including artists, medical practitioners, and NGO staff.
    • Iterate through workshops and storytelling techniques to refine prototypes.
  3. User Evaluation and Constructing AI-framework:
  • Engage with 100+ women from the communities for user evaluation.
  • Collect feedback through focus group discussions.
  • Construct an AI socio-technical framework based on the user insights and traditional visual practices.

Impact:

The research will contribute to academic, technical, and social domains by addressing biases in technology design, improving accessibility to healthcare, and combating stigma related to reproductive care.

Users:

The designed tools will be used by local women and healthcare practitioners in Bangladesh and India(our geography). The framework aims to advance AI's scope in addressing reproductive care needs in low-resource settings.

Cross cutting moments with Inclusive AI:

  • Both projects(SRH and Inclusive AI) emphasize close collaboration with local practitioners to ensure that their perspectives and imaginations are reflected in the narratives.
  • They involve workshops, residencies, and other forms of engagement to support and empower the participants in the co-creation process.

Inclusive AI