Episode 37 — AI and Law — Regulation, Liability, and Rights
As AI spreads across every sector, law is racing to keep pace. This episode begins with an overview of national and regional approaches, including the European Union’s AI Act, the United States’ sector-based regulations, and international guidelines developed by organizations such as OECD and UNESCO. We explore how laws address data protection, algorithmic accountability, and transparency, with examples of existing frameworks like GDPR and CCPA. The question of liability is also central: when an autonomous vehicle causes harm, who is responsible — the developer, the manufacturer, or the user? Intellectual property raises further challenges, as courts and policymakers debate whether AI-generated works can be copyrighted or patented.
We then turn to practical applications of AI in the legal field itself, such as predictive analytics in sentencing, automated contract review, and case law research. These innovations promise efficiency but raise fairness concerns if bias in datasets influences legal outcomes. Cross-border enforcement, data sovereignty, and international competition complicate the regulatory landscape, while ethical guidelines emphasize human rights and accountability. By the end, listeners will see how law and AI are deeply intertwined, with each shaping the trajectory of the other. Understanding this evolving relationship is essential for anyone studying AI in a professional or policy context. Produced by BareMetalCyber.com, where you’ll find more cyber prepcasts, books, and information to strengthen your certification path.
