Agency before automation.
Use AI to extend a decision you can understand—not to make invisible choices on your behalf.
Six original video tutorials · Critical AI literacy
The central question is not whether AI can produce an answer. It is whether the person using it can still explain, evaluate, and take responsibility for the result.
Begin the seriesA position on integration
Responsible use begins before the prompt and continues after the output. It asks what should be automated, what must remain human, whose knowledge is represented, what evidence can be trusted, and who remains accountable when something goes wrong.
Use AI to extend a decision you can understand—not to make invisible choices on your behalf.
Persuasive language is not proof. Trace claims to sources and examine the source itself.
Know when and how to communicate AI's contribution to the work, especially when trust is at stake.
Do not trade sensitive information for a faster answer. The prompt is also a data decision.
The practical series
These demonstrations move from authorship and pre-writing to research, source-grounded analysis, professional communication, and presentation design.
Use AI after the first act of thought—not instead of it.
Begin with your own response, then use ChatGPT to test its clarity, structure, and blind spots. The system can become a demanding second reader, but the argument, decisions, and final language should remain yours.
A useful outline should reveal your thinking, not conceal its absence.
Use ChatGPT to surface questions, possible structures, subpoints, and counterarguments before drafting. Treat every outline as provisional: reorganize it around your purpose, evidence, and emerging point of view.
A confident citation is not evidence.
AI can accelerate discovery by suggesting search language, authors, and candidate studies. It cannot perform the final act of verification. Trace every source to the original publication and judge its relevance, quality, and context yourself.
Constrain the system before you trust the summary.
NotebookLM can organize documents, surface themes, answer questions across a selected corpus, and create audio overviews. Its value comes from grounding the interaction in sources you deliberately choose—and continuing to inspect those sources directly.
Professional polish should not erase personal responsibility.
Use ChatGPT to review tone, structure, completeness, and clarity in a formal email. Before sending, restore the context and specificity only you possess, verify every name and detail, and ensure the message still represents your intent.
Automation can accelerate design; it cannot decide what deserves emphasis.
Gamma can turn documents, PDFs, and web material into a fast presentation draft. Use that speed to create room for deeper editorial work: strengthen the argument, correct simplifications, replace generic language, and cite generated or borrowed material.
Before you submit, send, or present
Can I explain what I asked the system to do—and why?
Have I verified every important claim against the original evidence?
Does the work express my judgment, language, and purpose?
Have I protected private, personal, and institutionally sensitive information?
Would I be comfortable disclosing exactly how AI contributed?