00:00 01. Generative AI and research ethics
01:30 02. How to use this lesson
03:02 03. Choose the check before using the tool
04:38 04. Human responsibility
06:14 05. The battery evidence supplied
08:03 06. A fluent edit changes the evidence
09:51 07. Pause: audit the paragraph
12:07 08. Audit answer: retain the measured outcome
13:56 09. The number and its denominator
15:39 10. A defensible revised paragraph
17:31 11. A reference needs two checks
19:17 12. A bounded editing request
21:05 13. Confidentiality comes before the prompt
22:54 14. Pause: choose the next action
24:30 15. Scenario answer: permission is still unresolved
26:15 16. Code: test the meaning of the result
28:05 17. Images: identify what the picture represents
29:49 18. Check the target journal policy
31:14 19. An AI use log records decisions
33:00 20. Disclosure describes actual use
34:49 21. Pause: plan a verifiable workflow
36:58 22. Workflow answer
38:48 23. Online quiz and attendance
40:26 24. Exit ticket and anonymous feedback
41:55 25. Reading and policy sources