Behind the Code: How Women Are Powering the Future of AI

Only 3% of AI funding goes to women. How are they building a more responsible, human-centered future for everyone?

#1about 3 minutes

The shocking funding gap for women-led AI startups

The panel opens by highlighting the stark reality that only 3% of AI funding goes to female founders, setting the stage for a discussion on women's impact in the field.

#2about 2 minutes

Integrating responsible AI into product development from day one

Responsible AI should be a foundational part of the product vision rather than a late-stage compliance check, ultimately leading to more accurate and trustworthy tools.

#3about 2 minutes

Balancing short-term wins with long-term AI capability building

Treat AI adoption as a compounding investment by breaking a large vision into smaller, value-adding steps which also allows for greater agility and pivoting.

#4about 7 minutes

Building and measuring trust in artificial intelligence systems

Trust in AI is earned through transparency about limitations and a focus on long-term value, moving beyond vague principles to concrete metrics for concepts like fairness.

#5about 2 minutes

The essential technical and worldly skills for AI professionals

Impactful AI work requires not only strong software engineering fundamentals but also "worldly wisdom," which includes interdisciplinary thinking, curiosity, and active listening.

#6about 3 minutes

How AI is transforming governance at the board level

Boards must adapt to AI by upskilling leaders to understand its risks and opportunities, establishing clear governance frameworks, and considering external AI ethics panels for guidance.

#7about 3 minutes

How AI reshapes leadership and strategic decision-making

Leaders must navigate rapid change by championing AI internally, leading by example, and curating reliable information to guide their organization's strategy.

#8about 4 minutes

Unpacking the funding and bias challenges for women in AI

The most significant barrier for women in AI is the severe lack of venture capital funding, which perpetuates bias and limits the diversity of perspectives in foundational models.

#9about 3 minutes

Actionable advice for the next generation of women in AI

Aspiring women in AI are encouraged to be optimistic, work diligently, and use AI as a tool to challenge the status quo and build a more inclusive, purpose-driven future.