Driving Tomorrow: Conversations for AI Leaders

Driving Tomorrow: Conversations for AI Leaders

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Driving Tomorrow: Conversations for AI Leaders episodes

  • How Newsrooms Use AI Without Losing Trust (Fact-Checking, Quality, Guardrails)

    Can AI help journalism move faster without sacrificing accuracy and trust?

    In this episode of Driving Tomorrow: Conversations with Industry Leaders, I sat down with Jon Stokes, Co-Founder of Symbolic.ai, to explore how publishers can move beyond AI experimentation into practical, responsible daily use. We talk about where AI actually fits in newsroom workflows, how AI-powered fact-checking can reduce material errors, and why “humans in the loop” is still the only serious approach for professional journalism.

    Some highlights from the interview

    • How publishers identify real workflow pain points (and which tasks AI shouldn’t touch)

    • AI fact-checking as “supported vs. unsupported” claims, and why that matters for editorial trust

    • Why the “volume SEO” era is fading, and how internal linking + quality standards matter more now

    • Guardrails: trusted source lists, standards enforcement, and keeping responsibility with the human publisher

    • What large newsroom adoption can mean for smaller outlets with tighter budgets


      • 👉 This is a must-watch for anyone in journalism, publishing, or comms who needs to improve speed and accuracy while protecting credibility.

      🔗 Learn more about Symbolic.ai: https://symbolic.ai

      🔗 Connect with Jon Stokes on LinkedIn:   / jonstokes  

      ✨ Enjoyed this episode? Subscribe for more conversations with AI leaders and digital strategy insights: https://www.ainews.com

      41 min
    • Why Banning AI Backfires: A CISO Playbook for Safe Adoption

      Is banning AI the biggest mistake a CISO can make?

      In this episode, I sit down with Jeremy Ventura, Field CISO at Myriad360, to unpack the real risks of unmanaged AI in the enterprise. When employees turn to personal devices and unsanctioned tools, outright bans can push AI usage underground—creating shadow AI and expanding security blind spots.

      📌 Highlights:

      • Why banning AI use can create more risk, not less

      • The rise of shadow AI and what it borrows from shadow IT

      • The biggest unmanaged-AI risks: data exposure, IP leakage, and compliance gaps

      • How CISOs can co-create AI policies that actually get followed

      • AI in cybersecurity: accelerating defenders—and lowering the barrier for attackers


        • 👉 This is a must-watch for CISOs, IT leaders, and executives trying to enable AI safely without slowing the business down.

        🔗 Learn more about Myriad360: https://www.myriad360.com

        🔗 Connect with Jeremy Ventura on LinkedIn:   / jeremyventura  

        ✨ Enjoyed this episode? Subscribe for more conversations with AI leaders and digital strategy insights: https://www.ainews.com

        35 min

      About Driving Tomorrow: Conversations for AI Leaders

      From the publisher's feed

      Welcome to “Driving Tomorrow: Conversations with AI Leaders,” AiNews.com’s interview series featuring AI founders, executives, researchers, and innovators shaping the future of artificial intelligence.