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Product Liability
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Neurotechnology Cybersecurity: Attack Vectors and Product Liability for Neural Device Makers
- November 6, 2026
- Posted by: allan
- Categories: Data Privacy & Cybersecurity, Risk Management
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Bias in AI Medical Devices: FDA Training Data Requirements and Product Liability Implications
- September 21, 2026
- Posted by: allan
- Categories: AI & Technology Law, Healthcare Law, Risk Management
Only 3.6% of FDA-cleared AI medical devices reported race or ethnicity data from their validation cohort. This post examines what FDA now requires for training data representativeness, and the product liability exposure manufacturers face when demographic bias causes patient harm.
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When the Algorithm Is the Defect: AI Recommendation Systems and Design Defect Claims
- August 7, 2026
- Posted by: allan
- Categories: AI & Technology Law, Risk Management
A new theory of product liability has emerged and is winning in court: the recommendation algorithm itself is the defective product. This post examines the legal landscape, from the social media MDL to the first jury verdict, and what it means for businesses deploying AI-driven recommendation and personalization systems.
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Is Your AI a Defective Product? How Product Liability Law Applies to AI Systems
- August 6, 2026
- Posted by: allan
- Categories: AI & Technology Law, Risk Management
Courts are allowing product liability claims against AI developers to proceed, bipartisan federal legislation would classify AI systems as defective products, and the EU has already done so by statute. This post explains the three product liability theories — design defect, manufacturing defect, and failure to warn — and what they mean for businesses that build or deploy AI.
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AI Liability: Who Is Responsible When AI Causes Harm?
- May 29, 2026
- Posted by: allan
- Category: AI Law
When an AI system makes a bad decision or causes harm, determining who is legally responsible is complicated by the technology’s novelty and complexity. This guide explains how existing liability law applies to AI and what businesses using AI systems need to know.
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AI Supply Chain Security: Prompt Injection, Data Poisoning, and Model Stealing
When a company installs traditional software, security teams know what to look for. They check for known vulnerabilities, review patch history, assess the vendor’s security posture, and run penetration tests. The attack categories are well-understood, the defenses are well-cataloged, and the tools for testing and monitoring have been refined over decades. AI systems do not
November 13, 2026 Read more -
AI-Enabled Cyberattacks: Emerging Legal Standards for Corporate Cybersecurity Programs
Cyberattacks were already expensive and frequent before AI. They have become cheaper, faster, and harder to detect since. The same AI tools that help businesses automate customer service, generate marketing copy, and analyze financial data are being used by threat actors to write more convincing phishing emails, generate deepfake audio of your CEO authorizing a
November 12, 2026 Read more -
COPPA 2025: Biometric Data, AI Tools, and New Compliance Obligations for Children’s Products
The Children’s Online Privacy Protection Act has governed how companies collect and handle children’s online data since 1998. For most of its history, COPPA’s core requirements were relatively static: get verifiable parental consent before collecting personal information from children under 13, give parents notice and access rights, and do not retain the data longer than
November 11, 2026 Read more -
AI Recommendation Algorithms and Children’s Online Safety: Age-Appropriate Design Laws
If you build or operate a digital product that children use — a social media platform, a gaming app, an educational service, a content streaming site — a wave of state laws now requires you to redesign how your AI recommendation and content amplification systems work for minor users. These laws do not merely add
November 10, 2026 Read more
