Explore

Transparency Coalition Advocates for Clear AI Product Liability Laws to Prevent Harm

Transparency Coalition Advocates for Clear AI Product Liability Laws to Prevent Harm

The Transparency Coalition Action Fund is advocating for the establishment of clear AI product liability laws to prevent the widespread harm seen with social media platforms. The coalition argues that AI models, systems, chatbots, and tools should be legally classified as products, not platforms shielded by Section 230 of the Communications Decency Act. This classification would hold developers accountable for any harm caused to users. The proposed framework includes three key steps: clarifying AI as a product, establishing an obligation for developers to ensure AI systems are safe for foreseeable uses, and defining the AI developer's duty of care. This duty would make developers liable if they fail to exercise reasonable care in product design, provide adequate instructions or warnings, or if the product fails to meet specific promises made by the developer, leading to user harm. The coalition highlights past issues with social media, where a lack of regulation led to significant negative impacts on users...

Japan's Intellectual Property Landscape Reshaped by 2026 Promotion Plan and Judicial Symposium

Japan's Intellectual Property Landscape Reshaped by 2026 Promotion Plan and Judicial Symposium

Japan's Intellectual Property Landscape Reshaped by 2026 Promotion Plan and Judicial Symposium

Organizations Face Governance Challenges with AI-Driven 'Vibe Coding'

Organizations Face Governance Challenges with AI-Driven 'Vibe Coding'

Organizations Face Governance Challenges with AI-Driven 'Vibe Coding'

Vanderbilt Law School Hosts 2026 AI Governance Symposium, Discussing AI's Impact on Law and Regulation

Vanderbilt Law School Hosts 2026 AI Governance Symposium, Discussing AI's Impact on Law and Regulation

Vanderbilt Law School, in partnership with Norm Ai, hosted the 2026 AI Governance Symposium on November 5. The event brought together leaders from government, business, and research to discuss how artificial intelligence is transforming institutions and legal systems. A key discussion featured John Nay, founder and CEO of Norm Ai, and Nicholas S. Zeppos, Chancellor Emeritus and Adjunct Professor of Law, moderated by J.B. Ruhl, the David Daniels Allen Distinguished Chair in Law. The conversation covered the rapid pace of AI development, the future of legal education, and the legal profession's adaptation to AI. Mark Williams, co-director of the Vanderbilt AI Law Lab (VAILL), emphasized the contested goals and constant evolution of AI governance, noting Nay's earlier argument for democratically made law as the standard for aligning AI systems.

AI Adoption Outpaces Governance, Leading to Surge in U.S. Litigation

AI Adoption Outpaces Governance, Leading to Surge in U.S. Litigation

AI Adoption Outpaces Governance, Leading to Surge in U.S. Litigation

Ropes Gray Senior Practice Innovation Advisor Discusses AI's Role in Legal Practice Ahead of Legal Innovators NY

Ropes Gray Senior Practice Innovation Advisor Discusses AI's Role in Legal Practice Ahead of Legal Innovators NY

Ropes Gray Senior Practice Innovation Advisor Discusses AI's Role in Legal Practice Ahead of Legal Innovators NY

AI Chatbot Security Testing Becomes Critical for U.S. Businesses Amid Rising Vulnerabilities

AI Chatbot Security Testing Becomes Critical for U.S. Businesses Amid Rising Vulnerabilities

AI Chatbot Security Testing Becomes Critical for U.S. Businesses Amid Rising Vulnerabilities

EU AI Act Imposes Strict Regulations on AI Systems, Affecting U.S. Companies Operating in Europe

EU AI Act Imposes Strict Regulations on AI Systems, Affecting U.S. Companies Operating in Europe

EU AI Act Imposes Strict Regulations on AI Systems, Affecting U.S. Companies Operating in Europe

Forrester Recommends Strict Governance for AI Agent Autonomy in Incident Response

Forrester Recommends Strict Governance for AI Agent Autonomy in Incident Response

Forrester Recommends Strict Governance for AI Agent Autonomy in Incident Response

Mayer Brown to Host Webinar on Adapting Technology Contracts for Agentic AI

Mayer Brown to Host Webinar on Adapting Technology Contracts for Agentic AI

Mayer Brown to Host Webinar on Adapting Technology Contracts for Agentic AI

AI Chatbots Provide Incorrect and Incomplete Legal Advice in Divorce Cases, Raising Concerns for Consumers

AI Chatbots Provide Incorrect and Incomplete Legal Advice in Divorce Cases, Raising Concerns for Consumers

AI chatbots are frequently providing incorrect or incomplete legal advice, particularly in divorce and custody cases, leading to significant issues for individuals seeking guidance. Family law attorneys across the country report instances where clients present chatbot-generated advice as settled fact, only for it to be inaccurate or inapplicable. The core problems stem from chatbots only hearing one side of a dispute, failing to account for local and state-specific laws, and sometimes inventing non-existent case citations or legal rules. This can result in delays, increased legal costs, and even sanctions from courts. Furthermore, conversations with chatbots are not protected by attorney-client privilege, meaning any information shared could be used as evidence against the user.

Berkeley Law Hosts National Conference on Generative AI in Legal Education

Berkeley Law Hosts National Conference on Generative AI in Legal Education

Berkeley Law's Clinical Program recently hosted a national conference titled 'GenAI in Law School Clinics,' bringing together over 150 participants from the U.S. and beyond. The conference aimed to foster a broader conversation among clinical faculty regarding the appropriate and useful application of generative artificial intelligence (GenAI) in legal practice and education. Discussions covered professional responsibility, ethical implications, client privacy concerns, and pedagogical choices surrounding GenAI. Panelists and attendees explored the technology's potential benefits, such as aiding in spellchecking or drafting boilerplate complaints, while also addressing significant drawbacks like bias in AI tools, climate impact, and the challenge of protecting sensitive client information when using large language models. Jonathan Smith, a professor at Washington University School of Law, emphasized that law is a human discipline requiring difficult decisions about mercy and compassion, which cannot be red...