Ethics Scenario Challenge
Core summary
This capstone lesson presents realistic research scenarios that combine multiple ethical dimensions — consent, conflicts of interest, data integrity, authorship, and responsible AI use. Real-world ethical challenges rarely involve a single issue; they require balancing multiple principles and stakeholder interests simultaneously.
Detailed explanation
Detailed explanation
Ethical decision-making in research follows a structured approach: (1) Identify all ethical issues in the situation; (2) Determine which principles, regulations, and guidelines apply; (3) Consider the perspectives of all stakeholders (participants, researchers, institution, public); (4) Evaluate possible courses of action and their consequences; (5) Choose and justify the best course of action; (6) Implement and document your decision. Common complex scenarios include: a senior colleague pressures you to add their name to your paper and you also discover a data discrepancy — do you address both simultaneously or separately? You find an error in a published paper that was partly written with AI assistance — who is responsible and what is the disclosure obligation? Your industry-funded trial shows unexpected negative results, and the sponsor suggests re-analyzing with different endpoints — is this legitimate or outcome switching? A participant in your study tells you they are being harmed at home — what are your obligations beyond the study protocol? In each scenario, there is rarely a single 'right answer.' The key is the quality of your reasoning: identifying all relevant issues, applying appropriate frameworks, considering consequences, and documenting your decision transparently.
Clinical example
Scenario: You are a co-investigator on a funded clinical trial. During data analysis, you notice that three participants were enrolled who did not meet the inclusion criteria. Your PI says to include them because 'it will not change the results.' Additionally, the PI asks you to use AI to rewrite the results section to sound more positive. What do you do? The ethical approach: (1) The enrollment error must be reported to the IRB and the protocol deviation documented; (2) Including ineligible participants without disclosure violates GCP; (3) Using AI to 'spin' results violates research integrity; (4) You should discuss your concerns with the PI, and if unresolved, report to the IRB or research integrity office.
Research example
A survey of early-career researchers found that over 50% had witnessed questionable research practices (not outright fraud, but 'gray area' behaviors like selective reporting or inappropriately adding authors). The most common barrier to reporting was fear of retaliation from senior colleagues — highlighting the need for institutional support systems and anonymous reporting mechanisms.
Knowledge check
Q1. You discover a data entry error in your study. The error does not change the conclusions. What should you do?
Q2. Your PI asks you to add a colleague who did not contribute as an author. What is the best response?
Q3. Which step should come FIRST in ethical decision-making?