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id title description date_created date_modified date_published original_publication_date publication_doi provider is_published reviews_state version is_latest_version preprint_doi license tags_list tags_data contributors_list contributors_data first_author subjects_list subjects_data download_url has_coi conflict_of_interest_statement has_data_links has_prereg_links prereg_links prereg_link_info last_updated
mkat7_v1 Borderline Disaster: An Empirical Study on Student Usage of GenAI in a Law Assignment This empirical study examines the outcomes of integrating Generative AI (GenAI) into a law assignment. Despite receiving instruction on the importance of verifying GenAI outputs and feedback on their attempts to use these tools effectively, a notable portion of students included fabricated or inaccurate information that had been generated by AI in their assignments. This overreliance on AI outputs suggests that instruction and guided practice alone may not sufficiently mitigate the risks associated with the inappropriate use of GenAI. A particularly concerning issue is the difficulty of identifying AI-generated inaccuracies in assessment tasks, which often requires considerable time and effort. Consequently, such errors may go unnoticed, potentially allowing students to bypass the development of essential skills, such as critical thinking, analytical reasoning, and the ability to independently evaluate information. Addressing overreliance on GenAI will require developing robust strategies that should be implemented for the entire duration of a student’s university degree to ensure they engage with AI tools effectively and responsibly. 2025-03-15T02:29:07.790917 2025-03-25T04:09:45.379338 2025-03-24T19:59:22.857039     lawarchive 1 accepted 1 1 https://doi.org/10.31219/osf.io/mkat7_v1 No license Artificial Intelligence; ChatGPT; Critical Thinking; GenAI; Generative AI; Higher Education; Law; Verification Drift ["Artificial Intelligence", "ChatGPT", "Critical Thinking", "GenAI", "Generative AI", "Higher Education", "Law", "Verification Drift"] Armin Alimardani [{"id": "8a3rq", "name": "Armin Alimardani", "index": 0, "orcid": "0000-0002-5580-4239", "bibliographic": true}] Armin Alimardani Law; Education; Medicine and Health Sciences; Higher Education; Science and Technology Law [{"id": "65047462c666880012ba225a", "text": "Law"}, {"id": "65047462c666880012ba225c", "text": "Education"}, {"id": "65047462c666880012ba225e", "text": "Medicine and Health Sciences"}, {"id": "65047462c666880012ba2264", "text": "Higher Education"}, {"id": "65047475c666880012ba25b9", "text": "Science and Technology Law"}] https://osf.io/download/67d4e6215f20c146d55aed79 0       null   2025-04-09T21:06:16.678567
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