AI, ethics, and women

Step 1

Educate Yourself

Understanding the problem is the first step. Bias in AI isn't obvious — it's embedded in systems we use every day.

Start with our comprehensive breakdown of how AI reproduces gender inequality at scale.

Search for peer-reviewed studies on algorithmic bias, gender inequality in AI, and representative datasets.

Stay updated on new developments, case studies, and policy changes through our blog.

Step 2

Most people don't know this is happening. Sharing this information helps shift public understanding.

Post key insights to your networks. Tag policymakers, tech companies, and journalists.

Email colleagues, especially those working in tech, policy, education, or HR.

Step 3

Technical fixes aren't enough. We need governance, transparency, and consequences.

Push for AI regulation that requires bias audits and public reporting of disparate outcomes.

Ask the companies whose AI you use: What are your bias metrics? Who audits your systems?

Back policies like the EU AI Act that require risk assessments for high-impact AI systems.

Step 4

Research, advocacy, and accountability require resources. Here's how to help sustain this work.

Support organizations doing critical work on AI ethics, bias auditing, and policy advocacy.

Connect with others working on this issue. Share resources, coordinate action, build power.

Have expertise in AI, policy, or research? We're looking for contributors and collaborators.