Graduate School of health and Medical Sciences

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Artificial intelligence-assisted scientific writing - tips, tools & ethics - online
Provider: Faculty of Health and Medical Sciences

Activity no.: 3966-26-00-01	There are 23 available seats
	Enrollment deadline: 21/08/2026

Date and time	21.09.2026, at: 13:00 - 28.09.2026, at: 17:00
Regular seats	24
Course fee	3,240.00 kr.
Lecturers	Steven Arild Wuyts Andersen
ECTS credits	1.40

Contact person	Anthea Terslev-Pedersen E-mail address: anthea.kristine.falkenberg.terslev-pedersen@regionh.d

Enrolment Handling/Course Organiser	PhD administration SUND E-mail address: phdkursus@sund.ku.dk

Enrolment guidelines This is a generic course. This means that the course is reserved for PhD students at the Graduate School of Health and Medical Sciences at UCPH. Anyone can apply for the course, but if you are not a PhD student at the Graduate School, you will be placed on the waiting list until enrollment deadline. After the enrollment deadline, available seats will be allocated to the waiting list. The course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD students at NorDoc member faculties. All other participants must pay the course fee. Learning objectives A student meeting the objectives of the course will: 1. Understand how AI tools can be used in relation to academic and scientific writing in English, including limitations and common pitfalls 2. Use AI to optimise scientific writing to improve language and flow 3. Critically discuss the ethical and legal issues of AI in the context of scientific writing Knowledge: Participants will gain knowledge of AI tools to enhance academic writing in English and understand common pitfalls when using AI for text generation and optimisation. Skills: Participants will be able to use AI tools to restructure sentences, optimise word choice, improve cohesion and coherence, ensure grammatical correctness and fluency, and detect plagiarism. Competencies: Participants will be able to use AI tools for academic text production in conformity with current conventions, principles and practices in academic genres and specific scientific text types and critically reflect on the ethical and legal issues of using AI. Contents This is a practically focused, 8-hour, online course with interim homework between the two course days. Participants will work with artificial intelligence (AI) tools for academic and scientific text production in English. Participants will be introduced to a selection of AI tools that can support scientific and academic writing processes. The course will equip participants with the skills and knowledge necessary to navigate pitfalls while using AI to improve their writing efficiency, accuracy, and quality. Participants will be introduced to ethical and legal issues relevant to AI use for writing and learn how to detect and prevent plagiarism. The course content and assignment may be adjusted to remain aligned with developments in AI tools and participants’ evolving skill sets. Key topics include: 1. Streamlining language: This module will train participants’ general ability to use AI tools for discipline-specific writing and editing in conformity with contextual/situational, discoursal and genre- and text-type conventions and requirements of written academic English in health and life sciences. Participants will discover how AI-powered tools, when properly prompted, may help writers tailor the linguistic form to the text’s purpose at all textual levels and how they may be used to restructure sentences, optimise word choice, improve cohesion and coherence, and ensure grammatical correctness and fluency. 2. Avoiding AI pitfalls: Participants will learn to navigate the common pitfalls of using AI tools in their research and writing processes. Through practical exercises and guidance, participants will develop the skills to leverage AI effectively while maintaining academic integrity and quality standards. 3. Ethical considerations and legal issues: The course will introduce participants to the ethical considerations and legal implications of using AI in academic and scientific writing. Participants will be introduced to plagiarism-detection tools, copyright issues, and best practices for maintaining academic integrity when using AI. Participants The course is intended for PhD students engaged in healthcare research. Participants are expected to have experience with scientific writing and, preferably, knowledge from courses in English writing. Participants will need access to a PC and the ability/permission to download and install apps. AI tool access: Free trial plans are available; tool upgrades typically include higher word limits, access to advanced features, priority support, and no usage limits. One-month subscriptions to premium versions of 4-5 AI tools, costing a total of 40 < Euro (DKK 300), are recommended but not obligatory and are not included in the course. Relevance to graduate programmes The course is relevant to PhD students from the following graduate programmes at the Graduate School of Health and Medical Sciences, UCPH: All graduate programmes Language English Form Online (2x4 hours + approximately 16 hours of interim homework/preparation between course days). The participant’s webcam must be on during the course to confirm attendance. The full course workload is expected to be 24 hours. Course director Steven Arild Wuyts Andersen, MD, PhD, DMSc. Clinical research associate professor. Dept. of Otorhinolaryngology, Rigshospitalet; Copenhagen Academy for Medical Education and Simulation (CAMES), Centre for HR & Education, RegionH; and Dept. of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen. steven.andersen@regionh.dk Teachers Morten Pilegaard Ass. Prof. emeritus and Peter Steffensen, sworn translator; both specialists in healthcare communication, linguistics and language technology, VidKom.dk Dates 21 and 28 September 2026 from 13-17. Course location Online Registration Please register before August 21th 2026 Expected frequency TBD Seats will be allocated to PhD students from other Danish universities on a first-come, first-served basis and according to the applicable rules. Applications from other participants will be considered after the last day of enrolment.

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