A brief teaching note on research ethics issues encountered on doing dissertation projects works for MBA and Housing Studies students (information from perplexity.ai)
My question 1: "Briefly highlight the main types of research ethics issues encountered in doing MBA and Housing Studies dissertation projects."
The reply: "The main types of research ethics issues encountered in MBA and Housing Studies dissertation projects include:
Respect for Participants: Ensuring free, informed, and ongoing consent; protecting participant confidentiality and data privacy; avoiding exploitation or harm; and respecting vulnerable groups, such as older adults or marginalized populations.
Research Integrity: Avoiding falsification, fabrication, plagiarism, and ensuring honest, transparent reporting of findings. Proper recognition of authorship and managing conflicts of interest are crucial.
Data Protection and Confidentiality: Safeguarding personal data collected during the research, using encrypted storage and anonymizing identities to prevent breaches.
Minimizing Harm and Risk: Careful consideration of any risks or negative impacts the research may have on participants or communities.
Ethical Review and Approval: Securing appropriate permissions from ethics boards and institutional authorities before starting research, and adhering to their guidelines.
Balancing Scientific and Moral Considerations: Particularly in Housing Studies, issues arise in ethically balancing positivist scientific approaches with human values and rights, such as housing rights and autonomy.
Power Imbalances and Fairness: Addressing power dynamics between researchers and participants to avoid coercion or undue influence.
These ethical concerns apply across both MBA and Housing Studies dissertations, especially when human subjects or sensitive data are involved. Researchers must uphold professional and moral responsibility toward participants, academic integrity, and societal impacts of their work."
My question 2: "Briefly highlight the main types of research ethics issues encountered by students using AI tools in "supporting and informing" their MBA and Housing Studies dissertation projects."
The reply: "The main types of research ethics issues encountered by students using AI tools to support and inform their MBA and Housing Studies dissertation projects include:
Transparency and Attribution: Ensuring clear disclosure of AI use in data analysis or writing assistance, with proper citation of AI-generated content to avoid plagiarism and maintain academic integrity.
Data Privacy and Security: Safeguarding sensitive participant or dataset information processed by AI tools, in compliance with data protection regulations, to prevent unauthorized access or breaches.
Bias and Fairness: Monitoring AI outputs for potential biases or unfairness embedded in training data that could distort research findings or reinforce stereotypes, especially in social contexts like housing studies.
Oversight and Accountability: Maintaining human oversight over AI-assisted decisions to ensure ethical judgment, avoiding over-reliance on AI recommendations without critical evaluation.
Ethical Use of AI: Aligning the use of AI tools with ethical principles such as respect for persons, fairness, and responsibility, ensuring AI augments rather than substitutes critical thinking and ethical reasoning in research.
Compliance with Institutional Guidelines: Following university and ethical board policies regarding AI tool use in academic research, including permissions where applicable.
These issues require students to balance the benefits of AI in enhancing research efficiency with maintaining ethical standards around transparency, fairness, privacy, and accountability in their dissertation work. Ethical AI use remains critical to upholding trustworthiness and rigor in academic research."
A collection of blog notes on using chatgpt for research purpose.
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