Compliance and AI

Thomas Fox
  • 5.0 (1)
  • Entrepreneurship
  • Updated Semiweekly

What is the role of Artificial Intelligence in compliance? What about Machine Learning? ChatGPT? These questions are but three of the many questions we will explore in this exciting new podcast series, Compliance and AI. Hosted by Tom Fox, the award-winning Voice of Compliance, this podcast will look at how AI will impact compliance programs into the next decade and beyond. If you want to find out why the future is now, join Tom Fox on this journey to the frontiers of compliance. 

  1. 2d ago

    The Psychology of AI Adoption at Work: Overcoming Fear, Identity Threat, and Shadow AI

    What is the intersection of AI and compliance? What about machine learning? Are you using ChatGPT? These questions are just three of the many we will explore in this cutting-edge podcast series, Compliance and AI, hosted by Tom Fox, the award-winning Voice of Compliance. Today, Tom visits with Dr. Gleb Tsipursky about his book, The Psychology of AI Adoption at Work: From Resistance to Results (Georgetown University Press), arguing that AI adoption fails mainly due to human factors, not tool complexity. Citing Pew research showing widespread anxiety about AI and an MIT finding that 95% of AI pilots fail to scale, Dr. Tsipursky describes three emotional blockers: fear of job loss (“AI alarmists”), identity threat when AI automates work people take pride in (“pragmatic resisters”), and shame-driven “reluctant adopters” who use AI secretly, fueling shadow AI risk and limiting ROI. He advises leaders to commit to growth over layoffs, automate disliked tasks first, model AI use, and create sharing channels and meetings to normalize safe adoption. He also emphasizes governance with clear ethical guardrails and individual accountability, replacing approval bottlenecks that drive shadow use. Key highlights: Why AI Adoption Fails Three Emotional Blockers Trust and Social Stigma AI Versus Calculators Creating Psychological Safety Tactics for Identity Threat Ending Shadow AI Usage Ethical Guardrails and Governance What Success Looks Like Resources: Follow Dr. Gleb Tsipursky on: LinkedIn YouTube Facebook Instagram X (formerly Twitter) Book: The Psychology of AI Adoption at Work on Amazon Website: Disaster Avoidance Experts, LLC

  2. Aug 28

    Governance First: How Enterprises Deploy Agentic AI Safely with Nikunj Bajaj

    What is the intersection of AI and compliance? What about machine learning? Are you using ChatGPT? These questions are just three of the many we will explore in this cutting-edge podcast series, Compliance and AI, hosted by Tom Fox, the award-winning Voice of Compliance. In this episode, host Tom visits with Nikunj Bajaj, Co-founder & CEO at TrueFoundry, to discuss enterprise agentic AI infrastructure, governance, and hidden costs. Nikunj Bajaj brings a practical enterprise lens to the rise of agentic AI, shaped by years of working at the intersection of model development and production infrastructure. He argues that enterprise AI is not just a technical challenge but also an organizational one, because federated teams adopting different tools can quickly create sprawl, inconsistent controls, and governance gaps. To address this, he advocates for a unified gateway layer that centralizes observability and control while still allowing teams to build with best-of-breed frameworks, paired with targeted safeguards like auditability, RBAC, guardrails, and the ability to inspect or revert agent actions. Bajaj also stresses that successful enterprise adoption requires disciplined cost management through FinOps, chargebacks, and budget guardrails so companies can move quickly toward ROI without letting agentic systems become a governance risk or a runaway expense. Resources: Connect with Nikunj Bajaj LinkedIn – Nikunj Bajaj Learn More About TrueFoundry TrueFoundry Website TrueFoundry on LinkedIn Tom Fox Instagram Facebook YouTube Twitter LinkedIn

    Governance First: How Enterprises Deploy Agentic AI Safely with Nikunj Bajaj

  3. Aug 21

    Designing Compliance Into iGaming Products From Day One with Mouhcine Jalili

    What is the intersection of AI and compliance? What about machine learning? Are you using ChatGPT? These questions are just three of the many we will explore in this cutting-edge podcast series, Compliance and AI, hosted by Tom Fox, the award-winning Voice of Compliance. Today, Tom visits with Mouhcine Jalili, VP of Growth – iGaming at Software Mind, to reframe iGaming compliance as a design, delivery, and platform challenge rather than an end-stage legal checklist. Jalili brings 15 years of exclusive iGaming experience, having grown from operational roles into commercial, team growth, and technology-focused leadership, and he currently serves as Vice President for Growth in iGaming at Software Minds. He views operational compliance and governance as a design-and-delivery challenge rather than merely a legal checklist, because many of the biggest risks arise when product changes are rolled out across regulated markets without the right release management and controls. From his perspective, responsible gambling and other market-specific requirements should be engineered into the product from the start through automated controls, strong configuration management, and close collaboration between compliance, product, delivery, and engineering teams. Overall, Jalili believes iGaming governance works best when compliance is embedded directly into the system architecture and operational process, making the whole organization more resilient and easier to scale. Resources: Connect with Mouhcine Jalili on LinkedIn Software Mind Tom Fox Instagram Facebook YouTube Twitter LinkedIn

    Designing Compliance Into iGaming Products From Day One with Mouhcine Jalili

  4. Aug 14

    AI Governance as Compliance with Bennett Borden

    What is the intersection of AI and compliance? What about machine learning? Are you using ChatGPT? These questions are just three of the many we will explore in this cutting-edge podcast series, Compliance and AI, hosted by Tom Fox, the award-winning Voice of Compliance. Today Tom visits with Bennett B. Borden, a lawyer-data scientist and former CIA analyst who led DLA Piper’s global AI practice before founding Clarion AI Partners, an AI-focused law firm and development shop building AI solutions with governance “baked in.” Borden argues generative AI is transformative and that most legal work is highly repetitive and largely automatable, making traditional billable-hour law practice unsustainable. He frames AI governance as a compliance responsibility because AI operationalizes business objectives within regulatory constraints and must produce measurable, defensible proof of compliant behavior. He recommends cross-functional AI committees, using enterprise-licensed tools with enforceable policies, and building trust through controlled systems and quality controls. In a patchwork regulatory landscape, he emphasizes “reasonableness” and proving foreseeable risks are mitigated. He advises boards to oversee AI strategy, warns against delaying adoption, and urges compliance leaders to translate legal requirements into technical metrics (“governance engineering”). Resources: Bennett Borden on LinkedIn Clarion AI Partners Website Clarion AI Partners on LinkedIn Tom Fox Instagram Facebook YouTube Twitter LinkedIn

    AI Governance as Compliance with Bennett Borden

  5. Aug 7

    Deterministic Legal Reasoning, Trust, and Auditability in Compliance Automation with Paul Welter

    What is the intersection of AI and compliance? What about machine learning? Are you using ChatGPT? These questions are just three of the many we will explore in this cutting-edge podcast series, Compliance and AI, hosted by Tom Fox, the award-winning Voice of Compliance. Today Tom visits with Paul Welter, a German lawyer and former software engineer who co-founded Bayshore AI after research at Stanford Law School’s Codex on automating legal reasoning. Welter explains Bayshore’s approach: extracting legal decision logic into deterministic, conventional code for predictable, explainable outcomes, while using large language models to gather scenario facts and handle vague legal terms. They discuss regulation as infrastructure for trust and economic activity and how today’s complexity creates bottlenecks that AI can alleviate by providing legal and compliance advice “in abundance.” Welter describes tailoring assessments to each customer’s policies and risk appetite, embedding them into workflows, and building trust through transparency, second-line control, and auditability for regulators. He highlights automation candidates (e.g., gifts/hospitality, third-party reviews) and advises teams to centralize request intake, measure frequency and effort, and automate iteratively. Key highlights: Predictable Legal AI Regulation Enables Progress Encoding Policies, Not Laws Building Trust in AI Explainability and Audits Agentic AI Use Cases Resources: Paul Welter on LinkedIn Bayshore Website Bayshore on LinkedIn

    Deterministic Legal Reasoning, Trust, and Auditability in Compliance Automation with Paul Welter

  6. Jun 19

    Scaling Marketing Compliance with AI: Kunal Vankadara on Turning Compliance into a Strategic Partner

    What is the intersection of AI and compliance? What about Machine Learning? Are you using ChatGPT? These questions are just three of the many we will explore in this cutting-edge podcast series, Compliance and AI, hosted by Tom Fox, the award-winning Voice of Compliance. Today, Tom visits with Kunal Vankadara, CEO & Co-founder at Haast, about using AI to help regulated organizations scale compliance as content volume explodes and regulatory scrutiny increases. Kunal, a former attorney and ex-BCG consultant, describes how manual marketing and public-content review once worked when content cycles were slower, but he is now overwhelmed by AI-driven content creation, channel proliferation, and personalization. He explains that many compliance decisions are subjective and tied to organizational risk tolerance, which Haast “teaches” to AI agents to provide first-line content review, reduce iterations, and route only gray-area items for human approval. The discussion covers managing “false positives” via risk-tolerance tuning, creating competitive advantage through speed-to-market and personalization, using an ROI calculator focused on business outcomes, and making regulatory changes more actionable across the business. Key highlights: Why Manual Review Broke Why AI Fits Compliance Scaling Risk Tolerance Handling False Positives Compliance as Advantage Speed to Market Examples ROI Calculator Explained Resources: Kunal Vankadara on LinkedIn Haast Website: Haast Website LinkedIn: Haast LinkedIn Tom Fox Instagram Facebook YouTube Twitter LinkedIn

    Scaling Marketing Compliance with AI: Kunal Vankadara on Turning Compliance into a Strategic Partner

  7. Jan 30

    Understanding AI and Cyber Risk Management with Yakir Golan

    What is the intersection of AI and compliance? What about Machine Learning? Are you using ChatGPT? These questions are just three of the many we will explore in this cutting-edge podcast series, Compliance and AI, hosted by Tom Fox, the award-winning Voice of Compliance. Today, Tom visits with Yakir Golan, CEO & Co-Founder at Kovrr, who shares his professional journey from the Israeli intelligence community to his current role at Kovrr. They discuss Kovrr’s business, focusing on Cyber Risk Quantification (CRQ) and recent developments in AI risk governance. Yakir explains the evolution of AI’s impact on business workflows and the risks posed by generative AI, including ‘insider AI scenarios.’ He emphasizes the importance of a proactive approach to managing AI risks and of using financial models to report them to executives. The conversation also touches on balancing innovation with global regulatory requirements and the need for robust governance frameworks. Yakir underscores the importance of ongoing risk assessments, sound analytics, and communication strategies to enable compliance officers and corporate leaders to manage AI and cyber risks effectively. Key highlights: Impact of AI on Cyber Risk Insider AI Scenarios and Risks Proactive AI Risk Management Compliance Beyond Regulations Future of AI and Compliance Resources: Yakir Golan on LinkedIn Kovrr Tom Fox Instagram Facebook YouTube Twitter LinkedIn

    Understanding AI and Cyber Risk Management with Yakir Golan

  8. Jan 16

    Transforming Cloud Investments: The Role of AI Governance

    What is the intersection of AI and compliance? What about Machine Learning? Are you using ChatGPT? These questions are just three of the many we will explore in this cutting-edge podcast series, Compliance and AI, hosted by Tom Fox, the award-winning Voice of Compliance. Today, Tom looks at AI and governance with 3 guests: Bill Sanders, Olivia Storelli, and Andrew Stevens. Bill Sanders, Olivia Storelli, and Andrew Stevens are leading voices in the discourse on AI governance and guardrails, each bringing a unique perspective. Bill, a leader in brand management and consulting, views AI governance as essential for leveraging AI's potential, emphasizing the need for decentralized decision-making and strategic oversight to ensure safety and strategic foresight. Olivia, CEO of Sakura Sky, underscores the importance of aligning strategy with practical technology execution, advocating for governance as a means to achieve rapid value while maintaining safety and innovation. Andrew, an expert in cloud technology, highlights the need for governance to manage AI's risks and liabilities, calling for executive leadership to define permissible data use and decision-making to foster a robust, accountable AI implementation. Together, they stress the importance of clear guidelines, organizational readiness, and leadership involvement in navigating the complexities of AI adoption and ensuring its safe and effective integration into business operations. Key highlights: AI governance is crucial for safe and efficient deployment of artificial intelligence systems in organizations. Collaboration and a mindset shift towards compliance professionals as enablers are essential for safe AI adoption. AI compliance impacts trust, fairness, and security within organizations. Leadership, accountability, and culture are key to success in AI projects. A phased approach with executive sponsorship is crucial for implementing the AI roadmap. Resources: Download the AI Executive Whitepaper: Text the word PLAYBOOK to 415.960.1161.  or Visit https://whitepaper.download/ Websites https://roeblingstrauss.com/ https://www.sakurasky.com/ • LinkedIn  LinkedIn: Bill Sanders LinkedIn: Olivia Storelli LinkedIn: Andrew Stevens Books From Hierarchy to High Performance by Bill L. Sanders Hot or Hype is a podcast hosted by Olivia Storelli and Andrew Stevens Tom Fox Instagram Facebook YouTube Twitter LinkedIn

    Transforming Cloud Investments: The Role of AI Governance
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About

What is the role of Artificial Intelligence in compliance? What about Machine Learning? ChatGPT? These questions are but three of the many questions we will explore in this exciting new podcast series, Compliance and AI. Hosted by Tom Fox, the award-winning Voice of Compliance, this podcast will look at how AI will impact compliance programs into the next decade and beyond. If you want to find out why the future is now, join Tom Fox on this journey to the frontiers of compliance. 

Information

  • Creator
    Thomas Fox
  • Years Active
    2023 - 2026
  • Episodes
    47
  • Rating
    Clean
  • Show Website
    Compliance and AI