Trustworthy AI : De-risk business adoption of AI
Pamela GuptaDescription: Creating AI Trust is a very complex and hard problem. It is not clear what it is and how it can be operationalized. We will demystify what is Trustworthy AI, efficient adoption and leveraging it for reducing risks in AI programs.McKinsey reports indicates companies seeing the biggest bottom-line returns from AI—those that attribute at least 20 percent of EBIT or profitability to the... more
| Publishes | Monthly | Episodes | 50 | Founded | 3 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologyBusiness | |||
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Latest Episodes
Most AI risk conversations begin after capital has already moved. This one begins before.
In this episode of the Trustworthy AI Podcast, I sit down with Ernest Nicholson, CEO of SKEET Global Services and Managing Principal of Zephyr IDP, to examine ... more
AI risk is moving faster than traditional governance, monitoring, and board oversight cycles can absorb. The frameworks most enterprises have in place were not built for the velocity of generative and agentic AI, and the gap between adoption and over... more
What happens when AI makes thousands of real-time decisions about inventory, fulfillment, and pricing across a $300M+ operation — and one of them goes wrong?
In this episode of Trustworthy AI, host Pamela Gupta sits down with Nirmal Jingar, Sr. Tech... more
Trustworthy AI: De-risk Adoption of Business AI — with Pamela Gupta
Most organizations have AI policies. Few have AI governance that holds up under audit. There's a difference — and that difference is where legal exposure, regulatory risk, and opera... more
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- Sounded like drivel to me
I’ve lost trust in this podcast. The December 1, 2024 episode sounded like it was generated by Google’s NotebookLM platform. The source material came from PwC and because it was auto-generated, the whole episode came off like a bad commercial.
Apple Podcasts1Mark Kingsley
United States2 years ago
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Apple Podcasts | #54 |  Indonesia/Business |
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Frequently Asked Questions About This Podcast
What is This Podcast about and what kind of topics does it cover?
This show concentrates on governance, risk, and practical deployment of trustworthy AI in enterprise settings. Across episodes, guests discuss frameworks, standards, and real-world controls to de-risk AI programs, from agentic and autonomous systems to data provenance, privacy, and regulatory shifts. A recurring thread is turning high-level governance concepts into actionable programs—covering ISO 42001 and other standards, incident response, and defensible experimentation—while highlighting strategies to scale responsible AI without throttling speed-to-value. Notable strengths include a strong emphasis on board-level risk posture, cross-functional collaboration, and concrete playbooks (e.g., ownership maps, data governance, and escalation ... more
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Which podcasts are similar to this podcast?
These podcasts share a similar audience with this podcast:
1. The AI Daily Brief: Artificial Intelligence News and Analysis
How many episodes of this podcast are there?
this podcast launched 3 years ago and published 50 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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What guests have appeared on this podcast?
Recent guests on this podcast include:
1. Diana Wu David
2. Nirmal Jingar
3. Dallas Bishoff
4. Joe Pearce
5. Paul Dongha
6. Walker Dimon
7. Jim Reavis
8. Dr. Nicoleta Economou
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