Understanding AI, Risk,
and the Future
The essential podcast for innovators, leaders, and curious minds who want to navigate a world where AI is advancing faster than our ability to make sense of it.
What Does It Actually Take to Build Unbiased AI?
Nobody told Tennisha Martin the importance of having a mentor, so she built a community of tens of thousands instead. As the Founder and Chairwoman of BlackGirlsHack, her whole mission has been making sure nobody else has to figure it out alone. In this episode, she and Mo get into AI bias, why it's already showing up in places that matter far beyond tech, and why the real fix starts with getting the right people in the room when these systems get built.
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Tennisha Martin is the Founder and Chairwoman of BlackGirlsHack, an international nonprofit that has helped tens of thousands of people break into cybersecurity and IT. A penetration tester, bestselling author, and doctoral candidate in AI and cybersecurity, she has raised over $1.5 million in funding, been recognized as the 2025 Cybersecurity Woman Hacker of the Year, and founded SquadCon, the only Black-led independent cybersecurity conference in Las Vegas during Hacker Summer Camp.
Featured Episodes
Conversations with the practitioners, leaders, and builders shaping the future of AI and security.
Curiosity might be our most important security tool. In the first episode of Curiouser & Curiouser, Mo Sadek sits down with longtime security leader Julie Tsai to explore AI, security, and the human judgment that still matters most. Together, they cut through hype and fear to talk about what’s actually changing, what isn’t, and how we build systems we can truly trust.
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Julie Tsai is a CISO-in-Residence at Ballistic Ventures, board member of the Bay Area CSO Council, and cybersecurity leader for AI Insiders. A six-time CISO and SecDevOps specialist, she’s led security at organizations ranging from startups to Fortune 1 companies, including Roblox, WalmartLabs, and Box. Julie advises startups, teaches cybersecurity, and focuses on using AI and DevSecOps to build stronger, more responsible security practices.
Mo is an AI security practitioner with over a decade of experience in application and product security, spanning hands-on engineering, program building, and cross-functional leadership. At Alice, he focuses on advancing how organizations understand, test, and manage real-world risks in AI systems, helping bridge security research, product, and emerging AI governance needs.
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