Law and The Machine

tell-tale

The collision of artificial intelligence and the legal system — liability, intellectual property, regulation, and the government's role as both rule-maker and AI adopter. The law wasn't written for this.

  1. May 22

    The Empire Strikes Back: Big Publishing, Shadow Libraries, and the Case Against Zuck

    This episode explores the high-profile lawsuit where major book publishers accuse Meta Platforms of using millions of pirated books from "shadow libraries" like Library Genesis to train its Llama AI models. It delves into Meta's likely "fair use" defense, contrasting it with the publishers' claims of "wholesale copyright infringement" and the potential erosion of intellectual property rights. Listeners will gain insight into the legal and ethical challenges at the intersection of generative AI's data demands and established copyright law.

    16 min

  2. May 22

    The $100 Million Cold Pizza: When Algorithmic Management Backfires

    This episode details a $100 million lawsuit against Pizza Hut by a franchisee group, alleging that an AI-powered delivery system, 'HutBot,' caused massive operational failures, leading to cold pizza and significant financial losses. It explores how a system designed for efficiency instead misrouted orders and stripped franchisees of autonomy, highlighting the dangers and liabilities of poorly deployed algorithmic management. Listeners will learn about the severe real-world consequences when AI systems fail to account for operational realities.

    10 min

  3. May 22

    The Politico Revolt: How a Union Killed the AI "Slop" Machine

    This episode explores how the Washington-Baltimore News Guild successfully compelled Politico to discontinue two generative AI tools, dubbed the "AI slop machine," due to concerns over content quality, accuracy, and the potential devaluing of human labor. Listeners will learn about the union's innovative "opt-in" negotiation strategy for future AI implementation, marking a significant win for labor in shaping AI's role and power dynamics within creative industries.

    10 min

  4. May 19

    The Deepfake Indictment: When the Silicon Witness Lies

    This episode explores the profound impact of AI-generated deepfakes, termed "silicon witnesses," on the legal system, highlighting how these sophisticated fakes challenge the integrity of digital evidence and the very foundation of justice. It discusses the difficulty in distinguishing fakes from reality, their potential to mislead or cast doubt on legitimate evidence, and the resulting threat to fair trials. Listeners will learn about the legal dilemmas posed by deepfakes, the ongoing technological "arms race" between creation and detection, and proposed solutions like digital provenance and expert witnesses to adapt evidentiary standards.

    12 min

  5. May 19

    The Conflict Docket: "No Stupid Rules," Missing Lawyers, and the Maven Targeting System

    This episode explores the complex ethical and regulatory challenges that arise when the government acts as both a major customer and the primary rule-maker for advanced AI technologies, using Project Maven as a key example. It discusses the "accountability gap" created by prioritizing speed over ethical review and the concept of "missing lawyers" in AI development processes. Listeners will learn how this dynamic can lead to a fundamental conflict of interest and the potential for regulatory capture in the AI space.

    9 min

  6. May 8

    The Lobbying Blitz: How AI Labs Are Buying Washington

    This episode explores the unprecedented surge in lobbying by AI companies in Washington, D.C., revealing how both established tech giants and new AI firms are strategically investing heavily to shape future regulations. Listeners will learn about their specific policy goals, which include advocating for soft regulation, limiting liability, and influencing intellectual property laws, as well as the tactics like the "revolving door" phenomenon, all aimed at ensuring favorable AI governance.

    10 min

  7. May 8

    The Algorithmic HR Trap: Stripping the "AI Alibi"

    This episode explores the "AI alibi," where companies attribute discriminatory outcomes in HR to algorithms, revealing how these tools often amplify existing human biases rather than eliminating them. It discusses the legal complexities of proving algorithmic discrimination, differentiating between disparate treatment and disparate impact, and highlights emerging regulations like NYC Local Law 144 and the EU AI Act. Listeners will gain insight into the challenges of AI accountability and the shift towards proactive bias mitigation in employment practices.

    11 min

  8. May 8

    The Infinite Substitution Machine: Meta’s Piracy Problem and the "Fair Use" Shield

    This episode explores the complex legal challenges surrounding AI models, such as those developed by Meta, which are trained on vast amounts of copyrighted material. It delves into the debate over whether this training constitutes copyright infringement or is protected under a broad interpretation of "fair use" as a transformative learning process. Listeners will learn how AI's capacity for "infinite substitution" is forcing a re-evaluation of traditional copyright law and its impact on creative industries.

    10 min
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The collision of artificial intelligence and the legal system — liability, intellectual property, regulation, and the government's role as both rule-maker and AI adopter. The law wasn't written for this.

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