考试和论文中生成人工智能和大型语言模型的法律问题。

IF 1.5 Q2 EDUCATION, SCIENTIFIC DISCIPLINES GMS Journal for Medical Education Pub Date : 2024-09-16 eCollection Date: 2024-01-01 DOI:10.3205/zma001702
Maren März, Monika Himmelbauer, Kevin Boldt, Alexander Oksche
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引用次数: 0

摘要

生成式人工智能(AI)和大型语言模型(LLM)在考试中的出色表现引发了有关其应用、效果和风险的激烈讨论。在教学和评估中使用 LLM 时需要考虑哪些法律问题?语言模型提供了哪些可能性?用于评估 LLM 使用情况的法规和法律: - 大学章程、州高等教育法、医生许可条例 - 版权法(UrhG) - 一般数据保护条例(DGPR) - 人工智能条例(欧盟人工智能法) LLM 和人工智能提供了机会,但需要明确的大学框架。这些框架应界定合法使用和禁止使用的领域。作弊和剽窃违反了良好的科学实践和版权法。作弊很难被发现。人工智能剽窃是可能的。产品用户应承担责任。LLM 是生成试题的有效工具。然而,即使表面上看似高质量的产品也可能存在错误,因此有必要进行仔细审查。不过,人工智能生成的试题侵犯版权的风险很低,因为版权法允许将最多 15%的受保护作品用于教学和考试。考试内容的评分须遵守高等教育法律法规和 GDPR。不允许在没有人工审核的情况下进行完全基于计算机的评估。对于教育领域的高风险应用,未来将适用欧盟的人工智能法规。在处理评估中的法学硕士问题时,可以调整现有评估的评价标准,也可以调整评估方案,例如减少作弊的动机。LLM 本身也可以成为考试的主题。教师应接受更多的人工智能培训,并将 LLM 作为补充内容。
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Legal aspects of generative artificial intelligence and large language models in examinations and theses.

The high performance of generative artificial intelligence (AI) and large language models (LLM) in examination contexts has triggered an intense debate about their applications, effects and risks. What legal aspects need to be considered when using LLM in teaching and assessment? What possibilities do language models offer? Statutes and laws are used to assess the use of LLM: - University statutes, state higher education laws, licensing regulations for doctors - Copyright Act (UrhG) - General Data Protection Regulation (DGPR) - AI Regulation (EU AI Act) LLM and AI offer opportunities but require clear university frameworks. These should define legitimate uses and areas where use is prohibited. Cheating and plagiarism violate good scientific practice and copyright laws. Cheating is difficult to detect. Plagiarism by AI is possible. Users of the products are responsible. LLM are effective tools for generating exam questions. Nevertheless, careful review is necessary as even apparently high-quality products may contain errors. However, the risk of copyright infringement with AI-generated exam questions is low, as copyright law allows up to 15% of protected works to be used for teaching and exams. The grading of exam content is subject to higher education laws and regulations and the GDPR. Exclusively computer-based assessment without human review is not permitted. For high-risk applications in education, the EU's AI Regulation will apply in the future. When dealing with LLM in assessments, evaluation criteria for existing assessments can be adapted, as can assessment programmes, e.g. to reduce the motivation to cheat. LLM can also become the subject of the examination themselves. Teachers should undergo further training in AI and consider LLM as an addition.

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来源期刊
GMS Journal for Medical Education
GMS Journal for Medical Education EDUCATION, SCIENTIFIC DISCIPLINES-
CiteScore
3.40
自引率
12.50%
发文量
30
审稿时长
25 weeks
期刊介绍: GMS Journal for Medical Education (GMS J Med Educ) – formerly GMS Zeitschrift für Medizinische Ausbildung – publishes scientific articles on all aspects of undergraduate and graduate education in medicine, dentistry, veterinary medicine, pharmacy and other health professions. Research and review articles, project reports, short communications as well as discussion papers and comments may be submitted. There is a special focus on empirical studies which are methodologically sound and lead to results that are relevant beyond the respective institution, profession or country. Please feel free to submit qualitative as well as quantitative studies. We especially welcome submissions by students. It is the mission of GMS Journal for Medical Education to contribute to furthering scientific knowledge in the German-speaking countries as well as internationally and thus to foster the improvement of teaching and learning and to build an evidence base for undergraduate and graduate education. To this end, the journal has set up an editorial board with international experts. All manuscripts submitted are subjected to a clearly structured peer review process. All articles are published bilingually in English and German and are available with unrestricted open access. Thus, GMS Journal for Medical Education is available to a broad international readership. GMS Journal for Medical Education is published as an unrestricted open access journal with at least four issues per year. In addition, special issues on current topics in medical education research are also published. Until 2015 the journal was published under its German name GMS Zeitschrift für Medizinische Ausbildung. By changing its name to GMS Journal for Medical Education, we wish to underline our international mission.
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