The rapid adoption of AI brings opportunities, yet new risks. Strong governance enables organizations to remain innovative while maintaining trust and protecting data.
In this episode, host Jara Rowe welcomes Jim Goldman, Co-Founder of Trava Security, to discuss how clear oversight, board engagement, and high-quality data enable the creation of ethical AI that aligns with business goals.
They outline practical steps, common blind spots, and proven frameworks for trustworthy automation.
Key takeaways:
- AI governance versus compliance in plain language
- Why data quality shapes reliable machine output
- How leaders and teams share accountability from policy to practice
Episode highlights:
(00:00) Today’s topic: AI Governance
(02:46) Governance reaches the boardroom
(04:09) Big shifts in NIST CSF 2.0
(06:01) Governance versus compliance explained
(07:45) Data quality risks in AI
(10:55) Core parts of a governance framework
(13:32) Roles and ownership across teams
(14:55) Designing ethical, transparent AI
(19:06) Proving accountability in decisions
(23:37) Easing public worries with openness
(26:41) Criminal abuse and law response
Connect with the host:
Jara Rowe’s LinkedIn - @jararowe
Connect with the guest:
Jim Goldman’s LinkedIn - @jigoldman
Connect with Trava:
Website - www.travasecurity.com
Blog - www.travasecurity.com/learn-with-trava/blog
LinkedIn - @travasecurity
YouTube - @travasecurity
