GENDER AND WOMEN’S POWER(lessness) IN THE DIGITAL ERA: WHO PROGRAMMES THE AI?

The future of AI is not something to be inherited — it is something to be designed. Around the world, women are not just demanding seats at the table — they are rebuilding the table altogether, shaping AI technologies rooted in justice, care, and sustainability.

 

Visionary Leaders Reshaping AI

  • Rumman Chowdhury
    A leading voice in ethical AI, Chowdhury co-founded Parity Consulting and led Twitter’s ML Ethics team. Her work focuses on algorithmic transparency and the need for human-centered governance in automated systems.
  • Abeba Birhane
    A cognitive scientist and critical thinker, Birhane’s research exposes the colonial roots and power imbalances in AI development. She advocates for relational ethics, emphasizing that AI must be rooted in human dignity, not extraction or surveillance.
  • Timnit Gebru
    Co-founder of the Distributed AI Research Institute (DAIR), Gebru’s groundbreaking work on facial recognition bias, labor exploitation in AI supply chains, and institutional discrimination has sparked global conversations about race, ethics, and responsibility in AI.
  • The Feminist AI Research Network
    This international collective brings feminist theory into AI design. It explores how values like care, reciprocity, and ecological awareness can guide systems that serve people and planet — not just profit.

 

Envisioning a Feminist AI Future

Feminist approaches to AI are not about adding “diversity” to existing systems — they are about changing the system itself. This includes:

  • Designing AI through participatory co-creation, especially with marginalized communities.
  • Using AI for healing and restoration, not just optimization.
  • Challenging the myth of “neutral” technology by embracing contextual, embodied knowledge.

Feminist AI is about making room for multiple truths, asking not just what works, but for whom and at what cost.

 

Final Thoughts: Building the Future Together

The challenges of bias, exclusion, and injustice in AI are real — but they are not inevitable. Around the world, people — especially women and gender-diverse innovators — are challenging the foundations of tech culture and building radically inclusive alternatives.

 

Change comes from multiple directions:

  • From inside organizations, through policy and leadership.
  • From outside systems, through activism and resistance.
  • From within communities, through care, collaboration, and imagination.

 

To shape a future where AI works for everyone, we must disrupt the structures that concentrate power, and instead build ecosystems where every voice matters and every story counts.