Artificial Intelligence Risks

Covers legal risks arising from the development and use of AI, including liability for automated decisions, compliance with emerging AI and data protection regulations, intellectual property and training data disputes, bias and discrimination claims, cybersecurity and safety obligations, and governance, contracting, and accountability for AI systems.

6 posts
How to Respond to a Texas Bar Grievance Alleging Misleading AI-Generated Client Advice Explained

How to Respond to a Texas Bar Grievance Alleging Misleading AI-Generated Client Advice Explained

Texas lawyers typically have 30 days to respond to a Texas Bar grievance once notified, and a weak response can escalate discipline exposure. Allegations that AI-generated client advice was misleading often implicate competence, communication, and candor duties under the Texas Disciplinary Rules. This article explains how to triage the complaint, preserve evidence, draft a strategic […]
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How to Defend a Negligence Claim After a Retailer’s AI Loss-Prevention System Wrongfully Detained a Customer in Texas

How to Defend a Negligence Claim After a Retailer’s AI Loss-Prevention System Wrongfully Detained a Customer in Texas

A Texas retailer can often defeat or limit a negligence claim arising from an AI loss-prevention detention by proving a lawful “shopkeeper’s privilege” detention and by attacking duty, breach, causation, and damages with system and incident evidence. As AI-driven camera analytics and facial-recognition alerts become common in Texas stores, wrongful detentions are generating hybrid premises, […]
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How to Prove Liability for AI Hallucinations in Healthcare: Negligence, Product Liability, or Malpractice?

How to Prove Liability for AI Hallucinations in Healthcare: Negligence, Product Liability, or Malpractice?

Proving liability for an AI “hallucination” in healthcare typically requires 3 core showings: a duty of care, a verifiable false output, and a causal link to patient harm. As hospitals and clinicians deploy generative AI for triage, documentation, imaging support, and patient messaging, the same tool can create confident but incorrect medical content. This article […]
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How to Prove Causation and Damages in a Florida AI Deepfake Defamation Lawsuit

How to Prove Causation and Damages in a Florida AI Deepfake Defamation Lawsuit

Florida deepfake-defamation cases often turn on two proof pillars—(1) causation (the fake caused the harm) and (2) damages (the harm is measurable), and defendants commonly attack both. AI manipulation complicates identity, publication, and “actual malice” evidence, especially when content spreads across platforms. This article explains how Florida lawyers can prove causation and damages in an […]
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How to Mitigate AI Hallucination Liability for Florida Healthcare Providers Using Chatbots in Patient Triage

How to Mitigate AI Hallucination Liability for Florida Healthcare Providers Using Chatbots in Patient Triage

Florida healthcare providers can reduce AI chatbot hallucination liability by implementing a documented “human-in-the-loop” triage workflow and auditing outputs against clinical protocols. As chatbots move into patient intake and symptom screening, errors can trigger malpractice, privacy, and deceptive practices exposure. This article explains Florida-specific risk points, key federal overlays, and practical contract, policy, and documentation […]
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How One Lawyer Got Sanctioned for a Fake Case Citation He Never Wrote

How One Lawyer Got Sanctioned for a Fake Case Citation He Never Wrote

A lawyer can be sanctioned—even disbarred—for filing a brief that cites a fake case, even if he claims he didn’t write the citation. Courts treat attorneys as responsible for verifying every authority submitted under their name, and they increasingly scrutinize AI‑generated or copied citations. This article explains how the sanction happened, what rules were violated, […]
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