Research Integrity and Responsible AI

Classify a research problem as an honest error, a questionable research practice, or misconduct, and identify its likely consequences.

Revise a passage to avoid plagiarism by using appropriate paraphrasing, quotation, attribution, and citation.

Differentiate data fabrication, data falsification, and selective reporting in research scenarios.

Apply authorship and contributorship criteria to determine appropriate credit for a research output.

Identify a conflict of interest and determine what transparent disclosure is required.

Specify record-keeping practices that make research decisions, methods, and data traceable.

Evaluate whether a proposed use of an AI tool in research is appropriate and determine how it should be verified and disclosed.