public-release-20260715-005
与 public-release-20260714-002 相比。
大学 of Maryland, College Park public-release-20260715-005 差异
将 public-release-20260714-002 与 public-release-20260715-005 进行比较。
变更日志
Release-to-release tracker diff history with separate policy-text, newly-extracted claim, evidence, and source snapshot categories.
当前公共记录的新鲜度与审核状态。
University of Maryland, College Park currently has 12 source-backed claim records and 6 official source attributions. Latest tracked changed date: 2026年7月19日. Latest tracker diff: 0 comparable policy-text changes, 1 newly extracted claims, 0 source snapshot changes.
此页面汇总了所有针对的公开版本差异记录 University of Maryland, College Park。各个版本的发布快照仍可通过其特定发布的 URL 访问。
This tracker is not legal advice, not academic integrity advice, and not an official university statement unless a linked source is the university's own official page.
新提取的主张是追踪器的新增项,不一定是大学新发布的。来源快照变更显示了同一来源 URL 的哈希值变化,这本身并不代表政策发生了变化。
此版本差异的语义分类。
由该大学的所有公开发布快照生成的统一追踪器差异。
将 public-release-20260714-002 与 public-release-20260715-005 进行比较。
1 公开发布差异
与 public-release-20260714-002 相比。
将 public-release-20260714-002 与 public-release-20260715-005 进行比较。
12 声明 条记录
TerpAI is listed for University of Maryland, College Park in an official university AI tools source. Derived availability: allowed. Derived endorsement type: not specified.
UMD publishes GenAI guidelines that apply to faculty, staff, students, and affiliates using GenAI tools in academic, research, or administrative activities.
For coursework, UMD tells students to assume GenAI use for assignments and assessments is not allowed unless the syllabus or assignment instructions specify otherwise.
UMD guidance tells researchers not to input federal, state, or UMD data into externally sourced GenAI tools and not to upload unpublished research data or other confidential information into tools that have not undergone proper review.
For administrative work, UMD guidance says administrative staff should not input non-public institutional data into externally sourced GenAI platforms and faculty or staff should not put moderate-risk Level 2 or higher data into public external GenAI platforms.
UMD strongly encourages instructors to establish course-specific policies defining appropriate and inappropriate GenAI use.
UMD's Division of Academic Affairs advises against incorporating GenAI detection tools into course policies and says detection results should be treated only as potential indicators, not definitive proof or the sole basis for grading decisions.
UMD guidance says individuals intending to use UMD credentials to access or purchase products with GenAI functionality should contact the Division of IT before signing up, including for free or open-source products.
UMD's AI services page lists DIT AI services and states that listed DIT tools have gone through SRM review and are approved for university community members to use.
UMD's AI software page identifies a list of software with AI capabilities approved by DIT Security and Compliance.
UMD's TLTC guidance encourages instructors to communicate expectations for AI-based tools and to assess privacy/security risks, including using UMD-approved tools when possible.
UMD's TLTC sample syllabus page gives instructors non-binding example AI course-policy language spanning prohibited, limited, and broad AI use, with citation or attribution expectations where applicable.
6 source attributions
official_guidance Tracker checked at 2026年5月15日 13:08
official_guidance Tracker checked at 2026年5月15日 13:08
official_policy_page Tracker checked at 2026年5月15日 13:05
official_guidance Tracker checked at 2026年5月15日 13:08
official_guidance Tracker checked at 2026年5月15日 13:08
official_guidance Tracker checked at 2026年7月16日 02:57