Artificial intelligence is reshaping the business research lifecycle. From literature review to data analysis and manuscript preparation, AI tools are increasingly embedded in scholarly work.
This introductory course establishes a shared foundation for understanding AI tools commonly used in business research and the ethical risks associated with their use. Participants explore principles of research integrity, transparency, authorship, data governance, and bias as they relate to AI-supported research activities. Emphasis is placed on recognizing ethical issues and applying institutional and disciplinary guidance with support.
This course represents the Developing, Guided Practice stage of the four-course, Certificate in Ethics of AI in Business Research program and builds the foundation for increasingly independent and advanced practice.
What You Will Learn
By the end of this course, you will be able to:
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Identify common AI tools used in business research workflows.
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Explain key ethical principles related to AI use in research including transparency, accountability, bias, and integrity.
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Distinguish appropriate and inappropriate AI use in research design, analysis, and scholarly writing.
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Apply institutional and journal guidance to basic AI-related research scenarios with guidance.
Who Should Attend
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Business school faculty
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Doctoral students
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Doctoral supervisors
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Research staff
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Academic and research leaders
Ideal for those seeking clarity, shared language, and defensible practices as AI becomes more integrated into research.
What You Will Take Away
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A practical ethical decision-making framework
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Increased confidence identifying AI-related risks
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Experience applying institutional and journal guidance
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Tools to document and justify AI-supported research decisions
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A strong foundation for advanced ethical AI practice
Contact Us
For more information, contact [email protected].
