What You’ll Learn:

1. Combating a Male-Dominated AI Landscape

• Understand the challenges posed by male dominance in AI development.

• Discover strategies to embed diverse perspectives at every level, from development teams to decision-making panels.

• Learn how proportional representation can mitigate bias and promote more inclusive AI outcomes.

2. Addressing Gender Bias in AI Systems

• Examine the hidden gender biases within AI algorithms and technologies.

• Gain insights into methodologies for identifying, reassessing, and reformulating algorithms to ensure fairness.

• Learn how applying a gendered lens helps create AI systems that equitably serve diverse populations.

3. Empowering Women for Leadership in AI

• Explore the essential role of female leadership in driving ethical AI development.

• Discover key leadership qualities that prevent AI misapplications and promote balanced development.

• Find out how mentorship programs, leadership training, and policy advocacy can elevate women to influential roles in AI.