Trustworthy AI : De-risk business adoption of AI

Pamela Gupta

Description:  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 their use of AI—are more likely than others to follow Trustworthy AI best practices, including explainability. Further, organizations that establish digital trust among consumers through responsible practices such as making AI explainable are more likely to see their annual revenue and profitability grow at rates of 10 percent or more.

  1. 6d ago

    Building Trust into Insurance AI Native Products: Marsh Captive Solutions

    Why AI is an amplifier of existing risk, and what that means for Chief Risk Officers in highly regulated industries. Governing it like financial or operational risk. Queena Cheung leads strategy and digital at Marsh Captive Solutions, where she built AI-native capabilities inside a heavily regulated business.  ReadyCell compressed captive formation from weeks to minutes, earned the 2024 Business Insurance Innovation Award, and secured conditional pre-approved regulatory licensing from the DC Department of Insurance, Securities and Banking. Captive Companion replaced fragmented know-how with democratized know-what. In this conversation we cover: The gaps in traditional captive formation and management that made generative AI the right tool rather than a fashionable one.The hardest technical problem in the build: putting deterministic guardrails around probabilistic technology.Radical transparency with regulators, and why audit trails and human-in-the-loop architecture were the center of that conversation.How the UI itself communicates the AI and human boundary to clients.Role-based access control, sandboxing, evaluations, stress testing, and continuous monitoring as the concrete form of ethical principles.Where the trust but verify boundary is shifting toward human-on-the-loop and where it is holding firm.What separates captive programs using AI well from the ones still finding their footing: upskilling, culture, workflow redesign, and institutional intelligence.Why AI is an amplifier of existing risk, and what that means for Chief Risk Officers governing it like financial or operational risk.What Queena is watching over the next 12 to 18 months, including agent-to-agent interactions and the rise of AI employees.Her advice to any product leader building in a regulated industry: audit trails and data lineage before UI. About the Guest Queena Cheung is Chief Strategy and Digital Officer at Marsh Captive Solutions. She led the development of ReadyCell and Captive Companion and was shortlisted for the 2026 Captive Review Awards Emerging Talent recognition. About the Host Pamela Gupta is the Founder of Trusted AI and the creator of the AI TIPS Framework, an enterprise AI governance architecture she developed in 2019. She is the 2025 recipient of the ISACA Joseph J. Wasserman Award for AI Governance and has chaired the GenAI Stage, presented on AI Cybersecurity and AI Governance globally and at the World AI Summit New York for six consecutive years. She holds CISSP, CISM, CSSLP, and AIGP certifications. Book Note My book, The AI Trust Layer: De-Risking AI Adoption, arrives September 1, 2026. It bridges the gap between identifying AI risk and operationalizing AI governance. Links Trustworthy AI Briefing newsletter: https://www.trustedai.ai/briefing/ Trusted AI: trustedai.ai Connect with Pamela: linkedin.com/in/buildingtrustedaiholistically Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.? With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website. Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures. Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.  For questions or comments on this podcast reach out to me.

    Building Trust into Insurance AI Native Products: Marsh Captive Solutions

  2. Jul 1

    The missing layer in AI governance: capital before commitment.

    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 a question most boards and capital allocators are not yet asking: how do you de-risk an AI infrastructure deal before capital commits? Ernest brings three decades of watching capital move into infrastructure at the wrong moment, as a Presidential Appointee in the Clinton Administration, a Senior Executive at Halliburton KBR, and a platform builder at SKEET Global. His work with the AI Ethics Council, co-chaired by Sam Altman and John Hope Bryant, sharpened his conviction that AI governance has to start earlier and reach further, with the communities most exposed to poorly governed infrastructure treated as co-architects rather than stakeholders to be managed. We get into: •       The core thesis that risk is set before capital is deployed, not after, and what real de-risking looks like at that stage •       The six pillars of Zephyr IDP: Demand, Power and Entitlement, Counterparty, Technology, Capital Stack, and Community and Governance, and where most deals quietly fail •       Why Community and Governance, anchored in Agency and Ownership, belongs in the same room as Capital Stack and Counterparty risk •       The April 2026 submission of Zephyr IDP to the Basel Committee on Banking Supervision as a practitioner reference framework for AI Infrastructure Specialized Lending Governance, and why Basel risk weights change the math on the cost of debt •       Whether a board-reportable governance score can credibly function as a risk weight input for institutional lending, and where that bridge holds or breaks •       The four governance layers now forming in the public AI conversation, and the one question every board director should ask before approving a major AI infrastructure investment A substantive, unscripted conversation about de-risking AI infrastructure at the point where capital moves. Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.? With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website. Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures. Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.  For questions or comments on this podcast reach out to me.

    The missing layer in AI governance: capital before commitment.

  3. May 18

    Mythos & Board Readiness: De-Risking AI Adoption (with Diana Wu David)

    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 oversight is widening every quarter. In this episode of the Trustworthy AI Podcast, host Pamela Gupta sits down with Diana Wu David, Director at ServiceNow Futures and the world's #1 ranked global futurist, to dig into what real board readiness for AI looks like in 2026. The conversation covers: • Why traditional risk and audit cycles can no longer keep pace with AI deployment • What boards need to understand about agentic AI risk and accountability • How the Mythos framework helps enterprises de-risk AI adoption without slowing it down • The role of governance scorecards in enabling business velocity rather than blocking it • Where the futurist lens and the governance lens converge on the next 24 months of AI risk ABOUT THE GUEST Diana Wu David is Director at ServiceNow Futures and a globally recognized futurist, author, and speaker on the future of work, leadership, and emerging technology. ABOUT THE HOST Pamela Gupta is the Founder of Trusted AI and creator of the AI TIPS framework, a strategic AI Governance Framework she built in 2019, four years before NIST AI RMF existed. She is the 2025 ISACA Joseph J. Wasserman Award recipient and ranks consistently among Thinkers360's global leaders in Cybersecurity and AI Risk. Subscribe to the Trustworthy AI Newsletter at https://www.trustedai.ai/briefing/ for weekly insights on building trust in enterprise AI. Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.? With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website. Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures. Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.  For questions or comments on this podcast reach out to me.

    Mythos & Board Readiness: De-Risking AI Adoption (with Diana Wu David)

  4. Mar 11

    When AI Runs Your Supply Chain: Governance at the Speed of Commerce

    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. Technology Leader, AI Platforms & Modernization at Wayfair, to explore what AI governance actually looks like when it has to work in production — not just read well in a policy document. Nirmal isn't advising on AI governance from the outside — he's building and shipping AI systems inside a major e-commerce operation with direct P&L accountability. When governance fails in his world, the result isn't a compliance gap. It's excess inventory, missed deliveries, or lost revenue. In this conversation, you'll learn: →  The governance decisions that directly protected business outcomes — not compliance checkboxes →  Why the biggest AI risk isn't a bad model — it's a missing feedback loop →  How to assign clear ownership when models retrain, drift, or make autonomous decisions at 2 AM →  What deterministic, governance-first AI design looks like in a world racing toward agentic AI →  How to build feedback loops that catch gradual model degradation — not just catastrophic failure →  What boards and C-suite leaders are dangerously underestimating about AI operational risk →  What agentic AI in supply chain means for governance — and whether enterprise is ready About Nirmal Jingar: Sr. Technology Leader, AI Platforms & Modernization at Wayfair. Forbes Technology Council Member. IEEE Senior Member. Mass Technology Leadership Council Chief AI Officer Group. University Board Member & Advisor. About Your Host: Pamela Gupta is the Founder of Trusted AI and creator of the AI TIPS governance framework — deployed across Fortune 500 companies in 120+ countries. Thinkers360 Top 50 Women Thought Leader on AI 2026. ISACA Wasserman Award 2025. CISSP | CISM | CSSLP. Connect & Resources: 🌐  trustedai.ai/podcast 📬  Subscribe to the newsletter: trustedai.ai/briefing 📊  Free AI TIPS Maturity Assessment: trustedai.ai/assessment #TrustworthyAI #AIGovernance #ResponsibleAI #EnterpriseAI #AITIPS #SupplyChainAI #AIRisk #CAIO #CIO Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.? With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website. Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures. Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.  For questions or comments on this podcast reach out to me.

    When AI Runs Your Supply Chain: Governance at the Speed of Commerce

  5. Feb 25

    AI Governance Isn't Optional Anymore —What ISO 42001 Auditors Look For

    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 operational failure live. In this episode, I sit down with Dallas Bishoff, the newly appointed U.S. Vice-Chair of ISO Steering Committee 27 (Information Security, Cybersecurity & Privacy) and one of the first ISO 42001 Lead Auditors in the world. Dallas is both writing the rules and auditing against them — a rare perspective that every AI governance leader needs to hear. We go deep on: — The business case for ISO 42001 beyond compliance — what CEOs and boards actually need to understand — What auditors look for on day one of an AI governance audit — and what tells them within the first hour whether governance is real or theater — Red flags that expose paper governance programs with no operational teeth — How ISO 42001 handles third-party and vendor AI risk — where most enterprise AI exposure actually lives — The convergence of ITIL v5 (released January 2026) and ISO 42001 — why keeping IT service management and AI governance in silos is a costly mistake — Whether ISO 42001 is equipped for agentic AI — systems that act autonomously without human oversight — The medical device wake-up call: layering AI governance on top of existing quality management standards after AI-enabled surgical devices were linked to serious patient harm — Global regulatory pressure from the EU AI Act and what multinational organizations should prioritize now I also discuss how my AI TIPS™ framework complements ISO 42001 to create a complete governance stack.  If you're a board director, CISO, privacy officer, or compliance leader evaluating AI governance readiness — this is the conversation you need to hear. Guest: Dallas Bishoff — U.S. Vice-Chair, ISO SC27 | ISO 42001 Lead Auditor | Author, ISO 42001 Pro Tips Newsletter Host: Pamela Gupta — Creator, AI TIPS™ Framework | Founder, Trusted AI | CISSP, CISM, CSSLP | 2025 Joseph J. Wasserman Award, ISACA Subscribe and follow Pamela Gupta on LinkedIn for weekly AI governance intelligence. Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.? With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website. Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures. Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.  For questions or comments on this podcast reach out to me.

    AI Governance Isn't Optional Anymore —What ISO 42001 Auditors Look For

  6. Feb 2

    AI Governance 2026: What Leaders Need to Know Now

    Navigating Old & New AI  Regulations, Liability Risks, and the Strategic Pivot for Q1. Welcome to Trustworthy AI: De-risk Adoption of Business AI. I'm Pamela Gupta, Founder of Trusted AI. This month I'm doing something a little different — a solo episode to kick off 2026. No guest today, just me and you, because a lot has happened in the last 60 days that I want to unpack. If you're a C-suite executive, a board member, a CISO, or anyone responsible for AI in your organization, this episode is your briefing. I'm going to cover: The new US Executive Order on AI and what it signalsWhy AI litigation just got real — and what it means for your vendorsEU AI Act enforcement kicking inAnd three things you should do this quarterLet's get into it. There are slides accompanying the podcast, see https://youtu.be/X_0Yba6Hszg Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.? With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website. Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures. Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.  For questions or comments on this podcast reach out to me.

    AI Governance 2026: What Leaders Need to Know Now

  7. 12/21/2025

    Trustworthy Agentic AI Rests on Strong Data Governance

    When AI moves from tool to agent, content bloat transforms from inefficient to dangerous. Today, I'm joined by our sponsor, RecordPoint, a leader in AI governance and data lifecycle management. They've been helping highly regulated organizations—from government agencies to financial services—build what they call "ART": Accurate, Relevant, and Trusted data foundations for AI systems. I am speaking with Joe Pearce who is the Head of Product at RecordPoint, Joe Pearce leads the innovation, strategy, and roadmap for Data and AI Governance Platforms.  We're going to explore why agentic AI demands a fundamentally different approach to data governance, what happens when organizations get it wrong, and how forward-thinking leaders are transforming their content management from passive archives into active AI strategy engines. Because here's the reality: your AI agents are only as trustworthy as the data you're giving them access to. And if that data is cluttered with ROT, you haven't solved the hallucination problem—you've just moved it from the public web to your private chaos. Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.? With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website. Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures. Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.  For questions or comments on this podcast reach out to me.

  8. 12/01/2025

    AI Governance for AI Value

    75% of companies are now using generative AI. But only a third have responsible controls in place. That's not just a statistic—it's a ticking time bomb. Today, I'm speaking with Dr. Paul Dongha, Head of Responsible AI at NatWest Group and co-author of the newly released 'Governing the Machine.' He's spent three decades bridging AI innovation with ethical implementation in one of the world's most regulated industries. If you want to know how to make AI governance an accelerator rather than a blocker, this is the conversation you need to hear. If you're navigating the EU AI Act, building assurance platforms, or trying to earn customer trust while scaling AI, this conversation provides the roadmap. We compare notes on my AI TIPS model for operationalizing AI Governance and the Framework Ray Eitel-Porter (Author), Paul Dongha (Author), Miriam Vogel (Author) present in Governing the machine. Can Trustworthy AI help De-Risk adoption of AI? ‘Can Trustworthy AI can be  instrumental in helping organizations gain a competitive edge and  promote better business outcomes, including accelerated innovation with AI’.? With extensive experience in global industry leadership in areas of Business Strategy, Technology, and Cybersecurity, Pamela helps clients in creating a strategic approach to achieving business value with AI by adopting a holistic risk based approach to AI Trust. She defined 8 essential pillars of trustworthy AI.  Read more details at Trustedai.ai website. Her insights have shaped the way we look at the impact of Cyberwarfare on Business, strategies for efficient digital transformation, and governance views on Algorithmic failures. Join Pamela as she delves into her signature framework, AI TIPS, standing for Artificial Intelligence Trust, Integrity, Pillars and Sustainability. This podcast is all about operationalizing governance and building Trustworthy AI systems from the ground up.  For questions or comments on this podcast reach out to me.

    AI Governance for AI Value
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Description:  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 their use of AI—are more likely than others to follow Trustworthy AI best practices, including explainability. Further, organizations that establish digital trust among consumers through responsible practices such as making AI explainable are more likely to see their annual revenue and profitability grow at rates of 10 percent or more.

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