Podcast
Corruption Crime & Compliance
Hosted by Michael Volkov · EN
Michael Volkov tackles the current and hot topics in the legal realms of corruption, crime, and compliance.
45episodes
Episodes
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Episode 421 -- The Dangers of AI Inaccuracy
Jun 300:10:12Tap to summarizeArtificial intelligence tools remind us every day that they can make mistakes — but in the rush to embrace AI's extraordinary capabilities, the professional and compliance communities are not taking that warning seriously enough. In this episode, Michael Volkov draws on his own extensive experience in compliance, white-collar defense, and corporate governance to examine the real and serious dangers of AI inaccuracy in high-stakes professional environments, including fabricated case citations, misstatements of legal holdings, and conflation of regulatory frameworks that are invisible to non-experts but potentially devastating in their consequences. Michael argues that AI output must be treated as a starting point rather than a finished product, that human expert verification must be built into AI workflows as a structural requirement rather than an occasional check, and that professional responsibility standards do not diminish simply because an AI tool was involved in producing the work — making the verification imperative not just a best practice, but a professional obligation.
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Are Your Distributors Getting You Into Sanctions Trouble?
Jun 200:01:31Tap to summarizeAre you ready to navigate the risky waters of third-party pirates?Most sanctions violations do not happen because companies intentionally want to evade and violate sanctions. They happen because companies trust the wrong third party.The epsilon and elf enforcement matters, which I frequently speak about, demonstrate that companies get in trouble when they have weak distributor oversight, poor intermediary screening, inadequate beneficial ownership review, and failure to monitor diversion risks.Regulators expect companies to understand counterparties, trace payment flows, identify transshipment risks, and monitor red flags continuously.Third parties create the highest sanctions exposure because they operate beyond direct company control and visibility.If your company cannot explain exactly who your third parties are doing business with, regulators are going to find you liable.The Ethics and Compliance Q and A show is produced by One Stone Creative.
Transcribe →Episode 420 -- DOJ Announces New West Coast Health Care Fraud Strike Force
Jun 100:06:13Tap to summarizeThe Department of Justice has announced a new West Coast Health Care Fraud Strike Force, signaling an expansion of federal enforcement efforts targeting health care fraud, telemedicine schemes, kickback arrangements, and technology-enabled billing misconduct. In this episode, Michael Volkov examines DOJ’s evolving enforcement strategy, including the growing use of data analytics and AI-driven investigations, increased scrutiny of private equity-backed health care entities, and heightened expectations for compliance oversight. Michael also discusses practical compliance lessons involving billing audits, telehealth controls, third-party risk management, and board-level governance in an increasingly aggressive enforcement environment
Transcribe →Episode 419: Polymarket Insider Trading Charges Illustrate DOJ and CFTC Prediction Markets Enforcement Strategy
May 2900:06:30Tap to summarizeRecent insider trading charges connected to Polymarket highlight the Department of Justice and Commodity Futures Trading Commission’s evolving enforcement strategy toward prediction markets and digital trading platforms. In this episode, Michael Volkov analyzes how regulators are applying traditional insider trading, fraud, and market manipulation theories to emerging event-based trading ecosystems. Michael also explores the growing compliance expectations for prediction market operators, including surveillance systems, AML controls, information barriers, and governance frameworks as DOJ and the CFTC increase scrutiny of digital market integrity risks.
Transcribe →Building a Best-in-Class AI Use Policy
Apr 29Tap to summarizeIn this episode of the Corruption, Crime & Compliance podcast, Michael Volkov examines how companies can design and implement a best-in-class AI Use Policy to manage the rapidly evolving risks associated with artificial intelligence. As organizations deploy AI tools across business functions, Volkov explains why traditional governance approaches fall short and outlines a practical framework for effective oversight, including risk-based classification of AI use cases, strict data protection controls, human accountability, and safeguards against bias and discrimination. He emphasizes the importance of cross-functional governance, employee training, and continuous monitoring, highlighting that AI policies must be operational, not theoretical. The episode’s key takeaway: companies can leverage AI to enhance productivity and innovation—but must maintain clear controls to ensure compliance, protect sensitive data, and preserve accountability.
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