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{"body":{"en":"<xml><dl class=\"decidim_awesome-custom_fields\" data-generator=\"decidim_awesome\" data-version=\"0.12.6\">\n<dt name=\"textarea-1772188078816-0\">Team name</dt>\n<dd id=\"textarea-1772188078816-0\" name=\"textarea\"><div>Cogent</div></dd>\n<dt name=\"textarea-1772188112772-0\">Team members (First name, LAST NAME, University)</dt>\n<dd id=\"textarea-1772188112772-0\" name=\"textarea\"><div>Dia Khurana, Amity University Haryana ; Soumalya Ghosh, Amity University Haryana ; Sayuri Giri , Amity University Haryana ; Dr. Paras Chawla, Amity University Haryana , Mentor</div></dd>\n<dt name=\"radio-group-1772188319073-0\">What area does your use case primarily fall under?</dt>\n<dd id=\"radio-group-1772188319073-0\" name=\"radio-group\"><div alt=\"research\">Research (anything related to the use of AI in a research context)</div></dd>\n<dt name=\"textarea-1772792126695-0\">The AI use case you are working on</dt>\n<dd id=\"textarea-1772792126695-0\" name=\"textarea\"><div>University students increasingly use generative AI tools to support research tasks such as literature reviews, summarizing papers, generating citations, and exploring research ideas. Our use case examines how students integrate these tools into academic workflows, the risks of misinformation and over-reliance, and how universities can design responsible guidelines that ensure AI supports research productivity while preserving academic integrity and critical thinking</div></dd>\n<dt name=\"textarea-1772792488518-0\">Why this use case matters</dt>\n<dd id=\"textarea-1772792488518-0\" name=\"textarea\"><div>Generative AI is rapidly reshaping how students conduct academic research, yet universities have not fully adapted their policies, pedagogy, or evaluation systems to this shift. While AI tools can significantly enhance efficiency by\naccelerating literature exploration, summarization, and idea generation, they also raise serious concerns around academic integrity, reliability of information, and intellectual ownership. Students may unknowingly rely on hallucinated citations, biased summaries, or inaccurate interpretations generated by AI systems. At the same time, excessive dependence on automated outputs could weaken essential cognitive skills such as critical thinking, analytical reasoning, and independent knowledge construction.\nThis situation creates tensions between innovation and responsibility within higher education. If properly guided, AI can become a powerful research assistant that improves learning and productivity. However, without clear\nframeworks and responsible practices, it risks undermining trust in academic work, widening knowledge gaps, and altering how students engage with learning and scholarship.</div></dd>\n<dt name=\"textarea-1772792380575-0\">Your team's motivation and learning objectives</dt>\n<dd id=\"textarea-1772792380575-0\" name=\"textarea\"><div>Our team wants to participate in this challenge to critically explore how artificial intelligence is transforming research practices in higher education. As students who actively interact with AI tools in academic work, we recognize both their potential to enhance productivity and the risks they introduce for research integrity and independent thinking.\n\nThrough this challenge, we hope to better understand the governance, ethical, and educational implications of AI- assisted research. We want to question how universities should adapt policies, evaluation methods, and learning practices in response to AI.\nOur goal is to contribute practical insights and responsible approaches that help institutions integrate AI in ways that strengthen critical thinking, transparency, and academic rigor rather than replacing them.</div></dd>\n<dt name=\"textarea-1772792857176-0\">Your initial contribution</dt>\n<dd id=\"textarea-1772792857176-0\" name=\"textarea\"><div>https://drive.google.com/file/d/1MkNfQVcCgY--elN2jwRwKE0u-CIvumMz/view?usp=sharing</div></dd>\n</dl></xml>"},"title":{"en":"Responsible Use of AI in Academic Research"}}
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