2023 CRA Rule Repeal: Lessons to be Learned
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Regulatory Rollback: Inside the CFPB's FCRA Guidance Withdrawal — FCRA Focus Podcast
Innovation in Compliance: The Critical Importance of Mobile Application Security: Insights from Subho Halder
2 Gurus Talk Compliance: Episode 53 – The AI as a Whistleblower Edition
Compliance Tip of the Day: Internal Controls for Third Parties
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Great Women in Compliance: From Hotline to Headline: The DOJ’s Whistleblower Awards Reboot with Mary Inman and Liz Soltan
Compliance into the Weeds: Autonomous AI Whistleblowing Misconduct
Understanding MALPB Charters: A Collaborative Approach to Banking Innovation — Payments Pros – The Payments Law Podcast
Law Firm ERGs Under Scrutiny: Navigating Compliance, Risk, and Culture - On Record PR
Compliance Tip of the Day: Risk Assessments and Internal Controls
Daily Compliance News: June 3, 2025 the $500MM for Compliance Edition
Navigating Legal Strategies for Covering GLP-1s in Self-Insured Medical Plans — Employee Benefits and Executive Compensation Podcast
Artificial intelligence (AI) technology is advancing rapidly. A key development is the emergence of “agentic” AI structures, which operate with a greater autonomy compared to traditional AI systems. These powerful agents...more
What Happened? As the Trump Administration’s deregulatory, pro-innovation approach to emerging technology moves forward, the use of artificial intelligence has taken center stage, and it is clear that the Administration...more
What is the role of Artificial Intelligence in compliance? What about Machine Learning? Are you using ChatGPT? These are but three questions we will explore in this cutting-edge podcast series, Compliance and AI, hosted by...more
By now, we all know what AI is. Some of us use ChatGPT as our search engine, confidant, secretary, travel agent, and much more. Others, at least, are acutely aware that AI exists, because everyone else is talking about it,...more
On 15 April 2025, the Hong Kong Government’s Digital Policy Office published the Hong Kong Generative Artificial Intelligence Technical and Application Guideline (“Guideline”), which aims to provide operational guidance for...more
Artificial intelligence (AI) as a field encapsulates machine learning, deep learning and generative AI. As the impact of these technologies continues to grow, industry leaders and regulators have been grappling with how to...more
The Office of Management and Budget releases highly anticipated guidance to federal agencies on the use and deployment of artificial intelligence and how to manage its risks....more
The Artificial Intelligence and Machine Learning (“AI/ML”) risk environment is in flux. One reason is that regulators are shifting from AI safety to AI innovation approaches, as a recent DataPhiles post examined. Another is...more
During the NAIC Spring National Meeting, the Big Data and Artificial Intelligence (H) Working Group reviewed its blueprint to build an overarching regulatory edifice to oversee insurers’ use of artificial intelligence...more
Welcome to “Compliance Tip of the Day,” the podcast where we bring you daily insights and practical advice on navigating the ever-evolving landscape of compliance and regulatory requirements. Whether you’re a seasoned...more
The United States Government Accountability Office (“GAO”) released on April 22nd a report titled: Artificial Intelligence: Generative AI's Environmental and Human Effects (“Report”). See GAO-25-107172....more
Unlock a New Era of Customer Risk Assessment - Legacy customer risk rating (CRR) models—built on static KYC data and subjective judgment—are no longer sufficient in a world of dynamic threats and tightening regulatory...more
ComplexDiscovery Editor’s Note: Emotional bonds with AI are no longer speculative—they’re shaping user behavior and redefining the risks legal professionals must address. This thoughtful exploration of artificial intimacy...more
Tariff evasion is the new money laundering. As global commerce evolves, this emerging reality poses a critical concern for economic stability and corporate competitiveness. Just as money laundering once exploited banking...more
On March 26, 2025, the Innovation, Cybersecurity, and Technology (H) Committee (“H Committee”) met at the Spring 2025 US National Meeting of the National Association of Insurance Commissioners (“NAIC”). The meeting covered...more
In this episode of the Consumer Finance Podcast, Chris Willis, co-leader of Troutman Pepper Locke's Consumer Financial Services Regulatory practice, delves into the current state of machine learning and artificial...more
The instant popularity of China’s DeepSeek-V3 generative artificial intelligence model underscores why companies should craft stronger GenAI policies that minimize the risks of employees exposing sensitive data, violating...more
As of March 2025, 24 states have adopted the National Association of Insurance Commissioners (NAIC) Model Bulletin on the Use of Artificial Intelligence (AI) Systems by insurers with little to no material changes. As we...more
Going beyond the basics of artificial intelligence (AI), it is important to focus on the data. How data is used, managed, and understood in the context of AI has become the center of many legal and business conversations,...more
In March 2023, Elon Musk and Steve Wozniak, along with other technology experts, signed an open letter asking that training powerful AI models be stopped until stronger AI governance laws could be developed. Two months later,...more
On March 18, 2025, the Joint California Policy Working Group on AI Frontier Models released a draft report outlining principles for AI regulation in California. This effort follows Gov. Gavin Newsom’s 2024 veto of SB 1047...more
The European Data Protection Board's (EDPB) Opinion 28/2024 provides valuable insights into the intersection of artificial intelligence and data protection, particularly in the context of compliance with the EU General Data...more
Artificial Intelligence (AI) has been touted as the answer to a multitude of business challenges. However, AI – along with machine learning and large language models (LLMs) – is still fraught with technical and regulatory...more
Introduction - The rapid rise of Artificial Intelligence (AI), particularly Generative AI, has transformed various industries. From finance, where AI algorithms help manage investment portfolios and detect fraud, to...more
Artificial intelligence (AI), particularly generative AI, thrives on vast amounts of data, fueling AI capabilities, insights, and predictions. But with this reliance on data comes potential privacy and security risks. And...more