Responsible AI: Building What We Can Stand Behind

​AI adoption is accelerating faster than governance. As organizations rush to integrate AI, real risks are already surfacing - from bias and misinformation to privacy exposure and security misuse.

​Join Cindy Lucas-Stone, cybersecurity and Responsible AI leader, for a practical conversation on what it actually takes to build AI systems we can stand behind.

​In this session, we’ll cover:

• ​ The Reality Check

• ​What Responsible AI Means in Practice

• ​How to Build with Trust

​We’ll also explore why diverse perspectives - especially women in tech - are critical to shaping ethical and trustworthy AI systems.

​About the Speaker
Cindy Lucas-Stone is a cybersecurity and Responsible AI leader with deep hands-on technical experience across engineering and management roles. She helps organizations translate complex AI systems into secure, practical outcomes that scale with trust.

​If you're building, influencing, or adopting AI - this session will give you the clarity and tools to do it responsibly.