Daniel Schwarcz
@Dschwarcz
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Fredrikson & Byron Professor, University of Minnesota Law School. Insurance law, regulation, & AI. Research available at https://t.co/3rH5BzG5mH
Minneapolis, MN
Joined August 2010
Had a great time presenting at the Law-Following AI Workshop at Cambridge. Drawing on the track record of cyber insurers, the project argues that liability insurance is likely to limit the effectiveness of liability as an AI regulatory tool. Will share the paper publicly soon!.
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Can someone please explain to me how loss ratios in the NH homeowners insurance market have consistently hovered between 30-40% in recent years? Doesn't that seem like clear evidence that homeowners insurance markets are broken? T See W . .
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The Eighth Edition of Insurance Law and Regulation (Abraham & Schwarcz) is now available. Updates address key recent issues in insurance, such as the COVID-19 pandemic, opioid crisis, and gen AI.
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RT @burgessev: A top staffer to Sen. Tina Smith emailed Sen. Mike Lee’s top staffers on Monday about “how much additional pain you’ve cause….
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This finding aligns with my own work, which warns that lawyers who rely on AI to complete cognitively demanding legal tasks may struggle with related work—such as engaging effectively with clients or judges, or integrating insights across discrete tasks.
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A new essay, presents evidence that using AI can impair users’ cognitive understanding of the underlying material.
arxiv.org
This study explores the neural and behavioral consequences of LLM-assisted essay writing. Participants were divided into three groups: LLM, Search Engine, and Brain-only (no tools). Each completed...
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🚨 🚨The AI, Insurance Law & Regulation conference kicks off tomorrow (Friday, May 30)! Hundreds are already signed up — register now to join us virtually.
ilc.law.uconn.edu
A Conference Presented by the Insurance Law Center at UConn Law & the University of Minnesota Law School AI, Insurance Law, and Regulation Friday, May 3 ...
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RT @SSRN: Thinking Like A Lawyer In The Age Of Generative AI: Cognitive Limits On AI Adoption Among Lawyers. This article explores why AI h….
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More importantly, it can erode lawyers’ capacity to explain, build upon, and make connections with the legal issues addressed in that work. For a deeper analysis, see the full essay here:
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While AI can enhance lawyers' performance on discrete, familiar tasks, it also creates significant risks when lawyers confront complex, unfamiliar, or nuanced problems because using AI can impair lawyers' ability to deeply understand and assess the quality of the resulting work.
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I’ve become increasingly convinced that the core explanation lies in the mismatch between AI’s strengths and the cognitive demands of lawyering.
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This question -- why hasn’t AI had a more transformative impact on legal practice, despite compelling experimental evidence of its potential -- animates my new essay, Thinking Like a Lawyer in the Age of AI.
Individuals keep self-reporting huge gains in productivity from AI & controlled experiments in many industries keep finding these boosts are real, yet most firms are not seeing big effects. Why?. Because gaining from AI requires organizational innovation
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RT @emollick: Individuals keep self-reporting huge gains in productivity from AI & controlled experiments in many industries keep finding t….
oneusefulthing.org
A formula for AI in companies
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Insurers often use AI to grant benefits—like faster underwriting or claims—assuming any model flaws won’t harm people relative to a non-AI baseline. But shouldn’t we also worry about unfair or inaccurate distribution of benefits? Has this been written about?.
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By contrast, risky AI prompts for lawyers include:.(i) Draft a novel legal argument.(ii) Answer a complex, unfamiliar research question.(iii) Explain a case I don’t understand.(iv) Summarize a long, unfamiliar document.(v) Recommend a legal structure for a new business.
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Under this principle, great AI prompts for lawyers include:.(i) Improve this paragraph.(ii) Find X in document Y.(iii) Flag ambiguities.(iv) Simplify a document I understand.(i) Summarize a legal area I know.(vi) Adapt a familiar template to a new context.
After years of studying AI & law here’s my rule of thumb: Lawyers should only use AI only when they can confidently assess, adapt & explain its output without engaging in deep, independent thinking about the core legal/factual issues. More in my new essay:
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After years of studying AI & law here’s my rule of thumb: Lawyers should only use AI only when they can confidently assess, adapt & explain its output without engaging in deep, independent thinking about the core legal/factual issues. More in my new essay:
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Confirmed speakers include @NotThatTomBaker @gabriel_weil @josephinecwolff @AnatLior @iam_gls @LauraFoggan @MikeLevine1515 @JoanSchmit @mathbabedotorg @warrisbokhari @ericgrimani @RickSwedloff and many more!.
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🚨 Last chance to register! Tomorrow is the deadline to sign up (in-person or virtual) for this free conference on AI, Insurance Law & Regulation. Don’t miss our incredible speaker lineup—register now:
ilc.law.uconn.edu
A Conference Presented by the Insurance Law Center at UConn Law & the University of Minnesota Law School AI, Insurance Law, and Regulation Friday, May 3 ...
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RT @richardsusskind: Daniel: thanks for this. In my new book (How To Think About AI), I explain this at least in par by distinguishing betw….
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