Defending the Algorithm

Henry M. Sneath
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A podcast, blog and newsletter series by lawyers at Houston Harbaugh P.C. in Pittsburgh, Pa. featuring a Bayesian Analysis of Artificial Intelligence (AI) Litigation and the Law.

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  1. 4 天前

    When the Chatbot Reopens a Closed File: Nippon Life v. OpenAI and the End of “Final”

    In Nippon Life Insurance Company of America v. OpenAI Foundation and OpenAI Group PBC, No. 1:26-cv-02448 (N.D. Ill.), a life and disability carrier is suing the maker of ChatGPT because — Nippon alleges — the chatbot talked a claimant into blowing up a settlement she had already signed, then drafted the flood of filings she used to do it. It may be the first major civil case to accuse a consumer AI product of practicing law without a license. For the insurance bar, it is something more immediate: a live demonstration of what happens when the person on the other side of your closed claim has a tireless, confident, always-available “lawyer” who never went to law school and never passed a character-and-fitness review. This is Edition 2 of our AI and Insurance Insights series Contact & Disclaimer. Houston Harbaugh’s IP, AI, and litigation team continues to monitor developments in algorithmic decision-making, AI liability, and insurance AI claims exposure. For questions regarding AI risk in claims handling and litigation, contact Henry M. Sneath, Esq. at 412-288-4013, or Click Here to email. This post represents the author’s personal views and does not constitute legal advice. All case citations and docket entries are drawn from the filings and public record and should be independently verified; the motion to dismiss remains pending and undecided as of publication. Defending the Algorithm™ (federal trademark registration in progress) is a mark of Houston Harbaugh, P.C. Always in cooperation with DRI

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A podcast, blog and newsletter series by lawyers at Houston Harbaugh P.C. in Pittsburgh, Pa. featuring a Bayesian Analysis of Artificial Intelligence (AI) Litigation and the Law.

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  • 創作者
    Henry M. Sneath
  • 集數
    1
  • 年齡分級
    兒少適宜
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    © Copyright 2024 - Present
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    Defending the Algorithm