The Core Pillars of AI Governance

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This is a podcast episode titled, The Core Pillars of AI Governance. The summary for this episode is: <p>The rapid adoption of AI brings opportunities, yet new risks. Strong governance enables organizations to remain innovative while maintaining trust and protecting data.</p><p><br></p><p>In this episode, host <a href="https://www.linkedin.com/in/jararowe/" rel="noopener noreferrer" target="_blank">Jara Rowe</a> welcomes <a href="https://www.linkedin.com/in/jigoldman/" rel="noopener noreferrer" target="_blank">Jim Goldman</a>, Co-Founder of <a href="http://www.travasecurity.com" rel="noopener noreferrer" target="_blank">Trava Security</a>, to discuss how clear oversight, board engagement, and high-quality data enable the creation of ethical AI that aligns with business goals.</p><p>They outline practical steps, common blind spots, and proven frameworks for trustworthy automation.</p><p><br></p><p><strong>Key takeaways:</strong></p><ul><li>AI governance versus compliance in plain language</li><li>Why data quality shapes reliable machine output</li><li>How leaders and teams share accountability from policy to practice</li></ul><p><br></p><p><strong>Episode highlights:</strong></p><p>(00:00) Today’s topic: AI Governance</p><p>(02:46) Governance reaches the boardroom</p><p>(04:09) Big shifts in NIST CSF 2.0</p><p>(06:01) Governance versus compliance explained</p><p>(07:45) Data quality risks in AI</p><p>(10:55) Core parts of a governance framework</p><p>(13:32) Roles and ownership across teams</p><p>(14:55) Designing ethical, transparent AI</p><p>(19:06) Proving accountability in decisions</p><p>(23:37) Easing public worries with openness</p><p>(26:41) Criminal abuse and law response</p><p><br></p><p><strong>Connect with the host:</strong></p><p>Jara Rowe’s LinkedIn - <a href="https://www.linkedin.com/in/jararowe/" rel="noopener noreferrer" target="_blank">@jararowe</a></p><p><br></p><p><strong>Connect with the guest:</strong></p><p>Jim Goldman’s LinkedIn - <a href="https://www.linkedin.com/in/jigoldman/" rel="noopener noreferrer" target="_blank">@jigoldman</a></p><p><br></p><p><strong>Connect with Trava:</strong></p><p>Website - <a href="http://www.travasecurity.com" rel="noopener noreferrer" target="_blank">www.travasecurity.com</a></p><p>Blog -<a href="http://www.travasecurity.com/learn-with-trava/blog" rel="noopener noreferrer" target="_blank"> www.travasecurity.com/learn-with-trava/blog</a></p><p>LinkedIn - <a href="https://www.linkedin.com/company/travasecurity/" rel="noopener noreferrer" target="_blank">@travasecurity</a></p><p>YouTube - <a href="https://www.youtube.com/@travasecurity" rel="noopener noreferrer" target="_blank">@travasecurity</a></p>
Today’s topic: AI Governance
03:11 MIN
Governance reaches the boardroom
01:43 MIN
Big shifts in NIST CSF 2.0
01:50 MIN
Governance versus compliance explained
01:48 MIN
Data quality risks in AI
03:14 MIN
Core parts of a governance framework
02:41 MIN
Roles and ownership across teams
01:27 MIN
Designing ethical, transparent AI
04:10 MIN
Proving accountability in decisions
04:36 MIN
Easing public worries with openness
04:19 MIN
Criminal abuse and law response
05:45 MIN
What is AI governance
00:21 MIN
The difference between AI compliance
00:32 MIN
Why AI governance is necessary
00:31 MIN
AI governance should be top-down
00:32 MIN

DESCRIPTION

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