Academic Integrity and Professionalism. w/Dr. Drysdale
Course Overview
MEDSCIEN 9505: Academic Integrity and Professionalism focused on the ethical foundations of research and the responsibilities of professionals in the medical sciences. The course emphasized that integrity is more than following rules, it is a mindset rooted in accountability, fairness, and respect for both colleagues and the broader scientific community. Through lectures, case studies, and scenario-based assignments, we explored complex issues such as research misconduct, publication ethics, authorship disputes, and predatory journals. Real-world examples, including the Obokata stem cell case and high-profile retractions, allowed us to evaluate how misconduct arises and how preventative strategies can be applied. Assignments encouraged both critical analysis and practical application. For example, the misconduct scenario exercise required my group to assess boundary violations and propose balanced, policy-based interventions, highlighting the importance of communication and fairness when addressing sensitive issues.
A central theme was that ethical research practices are inseparable from professional communication. By practicing case briefs, scenario presentations, and reflective writing, I developed the ability to articulate ethical challenges clearly, interpret policy effectively, and engage in collaborative problem-solving. Ultimately, the course positioned academic integrity and professionalism as core skills for researchers, equipping me to navigate ethical dilemmas and foster inclusive, transparent, and trustworthy research environments.
Assignment Highlights
1. AI Misconduct and Prevention
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This assignment examined both the transformative potential of Artificial Intelligence (AI) in medicine and the ethical risks associated with its misuse. While AI has advanced diagnostics, drug discovery, and public health surveillance, it also raises concerns about fairness, transparency, and accountability.
The first section outlined strategies for unethical misconduct in mental health diagnostics using digital phenotyping, such as collecting user data without consent, training algorithms on biased datasets, and exaggerating diagnostic accuracy without proper validation. These practices can fast-track publications and media attention but undermine patient autonomy, equity, and scientific integrity.
The second section proposed countermeasures, including clear informed consent protocols, diversity audits, pre-registration of datasets, and clinical validation requirements. It also emphasized systemic safeguards such as ongoing oversight, whistleblower protections, and transparent reporting to restore public trust and protect patients from harm.
Completing this assignment challenged me to think critically about the fine line between innovation and misconduct in biomedical research. AI is a powerful tool, but without ethical oversight, it can easily become a vehicle for exploitation, bias, and misinformation. Writing this paper made me reflect on my own role as a future researcher: to balance ambition with responsibility and to prioritize integrity over speed or recognition. It reinforced that scientific progress is only meaningful if it is equitable, trustworthy, and aligned with the values of transparency and accountability. I came away with a deeper appreciation that safeguarding research ethics in emerging fields like AI is not optional, it is essential to protecting both the credibility of science and the dignity of patients.
2. AI Misconduct Scenario
This assignment explored an ethical dilemma in a research lab where a graduate student mentoring an undergraduate may be engaged in a personal relationship. The concern was raised by a lab technician, leaving the supervisor to decide whether and how to intervene.
Our group analyzed the situation using institutional policies and ethical frameworks. We concluded that the supervisor has a duty to address the concern privately with the students involved, rather than raising it in a group setting. This approach balances confidentiality with the responsibility to uphold a safe and fair lab environment. The potential relationship poses significant ethical risks due to the power imbalance, possible conflicts of interest, perceived favouritism, and threats to research integrity.
We also recommended interventions such as consulting the university ombudsperson, using anonymous surveys to gather lab concerns, reassigning supervisory roles if needed, and revising lab policies on professionalism and boundaries. These steps would help the supervisor respond fairly while protecting the integrity of the research environment.
Working on this scenario highlighted for me how complex and sensitive lab dynamics can be. What seemed like a personal issue quickly unfolded into questions of power, fairness, and professionalism. It challenged me to think critically about how supervisors and team members should respond when boundaries are blurred, especially in environments built on trust and mentorship. I realized that avoiding uncomfortable conversations can actually deepen harm, while clear, respectful communication is essential to maintaining a healthy lab culture. This case strengthened my understanding that academic integrity is not only about research outputs, but also about fostering environments where every member feels safe, respected, and supported.
This course taught me that policy work is iterative, collaborative, and often challenging, but it is also one of the most powerful ways to make meaningful change. I realized that effective policy isn’t just about designing solutions, it’s about engaging stakeholders early, balancing competing interests, and creating strategies that are both inclusive and evidence-informed.On a personal level, I found myself growing in adaptability and teamwork. Each assignment demanded critical thinking under pressure and the ability to quickly translate complex scientific evidence into practical solutions. Learning how to apply SGBA+ in real scenarios also challenged me to think beyond the science and consider equity, accountability, and lived experience as central to good policy. Overall, this course strengthened my confidence in leading collaborative projects and showed me how science and policy together can drive systemic change.