版本差异
Johns Hopkins University
针对...的统一追踪器差异 public-release-20260523-001。未发布完整的源页面文本；仅显示简短的原始语言证据片段以供引用参考。
统一差异
基于公开版本快照生成的版本间跟踪器变更。
Johns Hopkins University public-release-20260523-001 差异
初始跟踪发布。
+32-0
11 # Johns Hopkins University AI policy diff
22 ## Source attribution added
33 An official source attribution was added to the tracker record.
4+Source https://engineering.jhu.edu/ctld/chatgpt/academic-integrity/ snapshot 5a88c7f80de6e9acce21f00c9a0ae1f3b701c9ee922e6b143ba7e693120fc18d
5+Tracker checked at: 2026-05-09T22:32:13.120Z
46 ## Source attribution added
57 An official source attribution was added to the tracker record.
8+Source https://engineering.jhu.edu/ctld/chatgpt/student-use-of-generative-ai/ snapshot 572ab8335e236a8c235b30abb9324ff4a7844b311325352eba0dbbf2f76f1bbd
9+Tracker checked at: 2026-05-09T22:32:13.120Z
610 ## Source attribution added
711 An official source attribution was added to the tracker record.
12+Source https://ep.jhu.edu/faculty-staff/preparing-to-teach/faculty-facing-guidance-on-student-generative-ai-use/ snapshot 02b5fffac1d999f76ef262ff9603abd7c01c37a329966a06020ab02b01bf63c6
13+Tracker checked at: 2026-05-09T22:32:13.120Z
814 ## Source attribution added
915 An official source attribution was added to the tracker record.
16+Source https://teaching.jhu.edu/university-teaching-policies/generative-ai/ snapshot 82d32124b88518a7571671a031979a2bbd02dfe0f2e63f94d2e3133e920cb237
17+Tracker checked at: 2026-05-09T22:32:13.120Z
1018 ## Source attribution added
1119 An official source attribution was added to the tracker record.
20+Source https://teaching.jhu.edu/university-teaching-policies/generative-ai/guidelines/ snapshot 83b6c5f4b3b3db7fe5bad6c193e6b9e8d5784f7467ba9d67325813b52fab52ba
21+Tracker checked at: 2026-05-09T22:32:13.120Z
1222 ## Source attribution added
1323 An official source attribution was added to the tracker record.
24+Source https://teaching.jhu.edu/university-teaching-policies/generative-ai/syllabus-statements/ snapshot 958188317cff3ed8f4b5da388e4a124f1867a5e1b79c160759ce8684de40ed65
25+Tracker checked at: 2026-05-09T22:32:13.120Z
1426 ## Source attribution added
1527 An official source attribution was added to the tracker record.
28+Source https://wseit.engineering.jhu.edu/get-help/generative-ai-chatgpt-information/ snapshot 284f3022cfec1d0d831414f77e670552492125d90669c904299fb4b053bde89d
29+Tracker checked at: 2026-05-09T22:32:13.120Z
1630 ## Newly extracted tracker claim
1731 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
32+source_status: Johns Hopkins maintains a Teaching @ JHU generative AI guidance hub described as guidelines and best practices for generative AI tools and teaching.
33+Evidence (en, 9696aed28ae3): The following pages are guidelines and best practices concerning generative AI tools and teaching. They will continue to evolve over time based on changes in the technology and use cases in the Johns Hopkins community.
34+Tracker checked at: 2026-05-10T21:16:32.000Z
1835 ## Newly extracted tracker claim
1936 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
37+teaching: Johns Hopkins guidance tells faculty to consult local divisional guidelines for discipline-specific generative AI information when such guidance is published.
38+Evidence (en, 9696aed28ae3): Faculty should also consult local divisional guidelines for discipline-specific information if published.
39+Tracker checked at: 2026-05-10T21:16:32.000Z
2040 ## Newly extracted tracker claim
2141 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
42+teaching: The Johns Hopkins generative AI guidance page says it was developed by JHU centers for teaching and learning to guide teaching strategies related to generative AI.
43+Evidence (en, 9696aed28ae3): This page was developed collectively by the Johns Hopkins centers for teaching and learning to provide guidance on teaching strategies as they relate to or are impacted by generative artificial intelligence (AI).
44+Tracker checked at: 2026-05-10T21:16:32.000Z
2245 ## Newly extracted tracker claim
2346 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
47+teaching: Johns Hopkins guidance describes potential instructional uses of generative AI tools, including course-material generation and adaptive personalized feedback.
48+Evidence (en, 9696aed28ae3): One prominent use case is in content creation and course development. These tools can assist instructional designers and educators in generating engaging and interactive course materials, ranging from automated quizzes and assessments to case studies and customized learning modules.
49+Tracker checked at: 2026-05-10T21:16:32.000Z
2450 ## Newly extracted tracker claim
2551 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
52+other: Johns Hopkins guidance says generative AI implementation in higher education should be approached carefully, including attention to bias detection, mitigation, fairness, inclusivity, and human intervention.
53+Evidence (en, 9696aed28ae3): Although the benefits of generative AI tools in higher education are promising, approaching their implementation with care is necessary. Ethical considerations, such as bias detection and mitigation, should be addressed to ensure fairness and inclusivity.
54+Tracker checked at: 2026-05-10T21:16:32.000Z
2655 ## Newly extracted tracker claim
2756 This claim was newly extracted or newly promoted in the tracker release. It is not necessarily newly published by the university.
57+privacy: The Johns Hopkins Teaching @ JHU generative AI guidance hub includes dedicated topics for FERPA guidelines, HIPAA guidelines, ownership of data, and ethical considerations.
58+Evidence (en, 9696aed28ae3): Guidelines FERPA Guidelines HIPAA Guidelines Ownership of Data Ethical Considerations Guidelines for Students Example Syllabi Statements Detection Tools: Limitations and Alternatives
59+Tracker checked at: 2026-05-10T21:16:32.000Z
如何阅读此差异
追踪器发布元数据，而非大学发布时间点的直接证明。
新提取的主张是追踪器的新增项，不一定是大学新发布的。来源快照变更意味着同一 URL 产生了不同的哈希值；这可能是政策文本、布局、导航或元数据的变化。
边界
仅限追踪器元数据
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.