public-release-20260526-003
与 public-release-20260526-001 相比。
大学 of New England Australia public-release-20260526-003 差异
将 public-release-20260526-001 与 public-release-20260526-003 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 New England Australia currently has 6 source-backed claim records and 4 official source attributions. Latest tracked changed date: 2026年5月24日. Latest tracker diff: 0 comparable policy-text changes, 6 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 New England Australia。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-20260526-001 与 public-release-20260526-003 进行比较。
1 公开发布差异
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将 public-release-20260526-001 与 public-release-20260526-003 进行比较。
6 声明 条记录
UNE's HDR generative AI guidance says higher degree research candidates are required to consider ethical, critical, and creative uses of generative AI and to ensure proper citation of content generated by AI tools and sources they use.
UNE's HDR generative AI guidance warns that failure to reference generative AI content may be considered academic or research misconduct, and lists risks including unacknowledged AI output, inaccurate AI-generated references, substantive AI-generated thesis or publication content, peer review or ethics-clearance use, and disclosure of sensitive or confidential material to generative AI.
UNE's Student Academic Integrity Policy includes artificial intelligence tools in its example of work substantially written by someone else, within the policy's breach framework for undergraduate and postgraduate award and non-award coursework students; the policy states it does not apply to higher degree by research courses.
UNE's HDR generative AI guidance cautions that inputting research data into AI can risk loss of copyright or intellectual property control and can have serious implications if sensitive or highly sensitive data is inadvertently released.
A UNE School of Education public myLearn information page tells students that computer programs, artificial intelligence tools, or other tools should not be used to write or produce any part of an assessment response unless explicitly referenced and in line with unit coordinator advice for the assessment task.
UNE's public Learning Online academic integrity myLearn section states that a Generative AI and Academic Integrity at UNE module exists and lists module topics including general principles for use of generative AI, Turnitin detection and AI, and referencing generative AI.
4 source attributions
official_guidance Tracker checked at 2026年5月24日 14:27
official_guidance Tracker checked at 2026年5月24日 14:27
official_guidance Tracker checked at 2026年5月24日 14:27
official_policy_page Tracker checked at 2026年5月24日 14:27