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UChicago Law School은 AI 전략에 따라 구두 방어를 추가하고 장치를 제한합니다.

시카고 대학교 로스쿨은 AI 중심 교육 전략의 일환으로 1학년 필수 수업에서 노트북, 태블릿, 휴대폰을 금지하고 2학년 연구 논문에 실시간 구두 토론을 추가할 것이라고 하이드파크헤럴드가 보도했습니다.

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Source-provided image accompanying UChicago Law School adds oral defenses and limits devices under AI strategy
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hpherald.com
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hpherald.comhttps://www.hpherald.com/evening_digest/u-of-c-law-bans-laptops-adds-oral-defenses-in-new-ai-strategy/article_988a1f69-1d1f-498a-b13d-ee76602d8b49.html
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The Hyde Park Herald reports that the University of Chicago Law School will prohibit laptops, tablets and phones in required first-year classrooms beginning this fall, with limited exceptions. First-year exams will be closed-book and conducted without internet access, electronic files or apps. The school will also add a live oral discussion or presentation to the substantial research paper requirement for second-year students. The measures are part of a strategy intended to preserve independent thinking as AI tools become more capable of producing acceptable academic writing.

The Hyde Park Herald reports that the law school’s device policy begins in fall 2026 and applies to all required first-year courses. Laptops, tablets and phones will be barred from those classrooms, although the report says narrow exceptions will exist for note-taking “scribes” and approved classroom activities. The paper also reports that exams will be closed-book, with no internet access, electronic files or apps. The policy is presented as part of a broader document titled “Rethinking Legal Education in the AI Era,” rather than as a standalone classroom technology rule. The supplied source does not provide the full text of the July strategy statement or the detailed implementation rules.

The second major change concerns the school’s substantial research paper requirement. According to the Hyde Park Herald, second-year students will begin adding a live discussion of their paper after submitting a draft. The discussion may be one-on-one with a professor or take the form of a class presentation, and will include questions about the student’s ideas. Professor William Hubbard, chair of the school’s AI committee and the reported lead drafter of the strategy, described the exercise as a device-free exchange in which instructors can probe the work directly. The report does not state how long these sessions will last, how they will be graded, or what accommodations will be available.

The strategy does not call for eliminating AI from the law school. The Herald reports that Hubbard described the goal as making education “AI-resilient,” rather than “AI-resistant.” For upper-level courses dealing with AI, the school reportedly plans to emphasize judgment instead of teaching specific products or prompting techniques. Topics include protecting client confidentiality, advising clients who present AI-generated legal opinions, and weighing AI outputs against possible hallucinations and other limitations. The report also says the University of Chicago has partnered with Anthropic to provide Claude Enterprise tools to faculty and staff, with student access planned before the fall term. The supplied material does not independently verify the university-wide rollout or its exact scope.

소스 세부정보: hpherald.com ↗

왜 중요한가요?

The policy treats AI as a challenge to how legal reasoning is learned and assessed, not merely as a software skill. Oral questioning can make it harder for a student to submit work they cannot explain, while device restrictions create settings in which students must reason without digital assistance. The approach also reflects a broader concern about how future lawyers will develop judgment when AI increasingly handles research, document review and contract analysis.

The policy addresses a specific educational problem: written work can show a polished result without reliably showing who did the reasoning. The Hyde Park Herald reports that the strategy statement describes the oral component as a way to test a student’s thinking in a setting where the student cannot lean on technology. That does not prove that oral defenses are a complete safeguard, but it explains why the school chose questioning alongside written work. An instructor can ask a student to clarify an argument, defend a source choice or respond to an objection in real time. Those interactions may reveal understanding that a submitted document alone cannot establish.

The reported changes also connect classroom assessment to changes in legal work. Hubbard told the Herald that AI has already taken on substantial portions of research, document review and contract analysis previously assigned to junior associates, particularly in corporate law. If routine work becomes less available as a training path, law schools and firms may need other ways to develop and evaluate judgment. The article identifies clinics as one possible response: students work on real cases for real clients, while instructors can combine AI-supported work with some manual document review. The source does not establish how widespread these workplace changes are or whether the school’s methods improve career outcomes.

There is a public-interest dimension to the school’s emphasis on verification and professional responsibility. The Herald reports examples in which lawyers submitted filings citing nonexistent, AI-generated cases, including a Mississippi case in which four attorneys were disqualified and sanctioned, and a Chicago matter involving a nonexistent case in a post-trial motion. These examples are reported context for the strategy, not evidence that the University of Chicago’s students have committed similar errors. They illustrate the practical stakes of accepting plausible-looking output without checking it. A lawyer’s duty to clients and courts requires more than producing fluent text, so the ability to interrogate sources, recognize uncertainty and explain decisions remains consequential even when AI tools are widely available.

Interactive Mechanism

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Thinking Budget (Test-Time Tokens):1,024 tokens
Complex Accuracy79%Math & Code Logic
Latency3.2sTime to first full output
Inference Cost$0.0092Per query estimated
Reasoning StyleStep VerificationInternal chain depth
Active Thinking Trace:
1Deconstruct user problem into formal constraints
2Propose candidate hypotheses & step-by-step calculation
3Self-correction: Backtrack and refute subtle edge cases
4Exhaustive consistency check & final output synthesis
Core takeaway: Test-time compute fundamentally changes AI economics. Instead of only scaling during pre-training, giving reasoning models more tokens at inference time allows them to systematically solve PhD-level STEM problems.
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다음에 무엇을 볼 것인가

The supplied material does not independently confirm the July strategy statement, the university’s Anthropic arrangement or how consistently the new rules will be applied. Important unknowns include the exceptions for note-taking, the format and grading of oral defenses, how accommodations will work, and whether the policy will affect student performance or legal-writing outcomes. The school’s next test will be whether it can combine AI literacy with enough device-free practice to build professional judgment without treating technology as inherently incompatible with legal education.

The first implementation question is how the oral defenses will work in practice. The supplied report leaves open whether every paper will receive the same level of questioning, whether presentations will be individual or collective by default, and how faculty will distinguish weak writing from weak understanding. It also does not say whether a student’s performance in the oral session can change the paper’s grade or whether the discussion is primarily formative. Those details will determine whether the new requirement is a meaningful assessment of reasoning or an additional presentation exercise.

The device restrictions will require similarly precise rules. The Herald says there will be narrow exceptions for scribes and approved activities, but the supplied material does not explain how those exceptions will be requested, how accessibility needs will be handled, or whether enforcement will vary among instructors. It is also unknown whether the no-device setting will be limited to required first-year courses as reported or later extended to other parts of the curriculum. The school will need to show that the policy protects learning while giving students a fair and workable way to participate.

The larger test is whether the strategy produces lawyers who can use AI responsibly without depending on it. The University of Chicago’s reported partnership with Anthropic means students may receive access to powerful AI tools at the same time that some core assessments restrict devices. That creates a deliberately mixed model: practice with AI, assessment without it, and instruction about its limits. The source provides no outcome data, independent faculty response or student feedback. Future reporting should examine whether the approach changes writing quality, factual verification, classroom participation, client-confidentiality practices or students’ ability to explain and defend work they helped produce with AI.

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