daBongo LMS AI Training Courses

Lesson Content

Ethical AI work habits – not rules, but practices.

Ethical AI work is not a compliance checklist. It is a set of habits that keep your professional judgment, accountability, and integrity intact as AI becomes a larger part of how work gets done. Five core habits:

Habit 1 – Own the output. When your name is on a work product, you are accountable for it – regardless of how it was produced. AI involvement in production does not transfer authorship accountability. Review every AI-assisted output as if you produced it manually: for accuracy, for appropriateness, for quality, for your professional standards.

Habit 2 – Be transparent where it matters. Transparency about AI use is required when: your employer or client has a policy on it, the context involves professional trust where AI involvement is material (academic work, certain licensed professional contexts), or distribution platforms require AI content disclosure. When in doubt: disclose. Audiences and stakeholders who discover undisclosed AI involvement react significantly worse than those informed proactively.

Habit 3 – Maintain your knowledge and judgment. Using AI to do tasks that previously required your professional expertise can, over time, erode that expertise. If AI consistently writes the analytical sections of your reports, your own analytical writing ability may weaken. Monitor which capabilities you rely on AI for and ensure you are maintaining – not outsourcing – the expertise your professional identity requires.

Habit 4 – Apply human judgment at every consequential point. AI accelerates work. Acceleration compresses the natural pause points where human judgment was previously applied. Deliberately re-insert those pause points: before distributing AI-assisted work, before making a decision based on AI output, before acting on an AI recommendation. Speed is not a reason to skip judgment.

Habit 5 – Do not use AI to cross ethical lines. AI makes certain unethical actions faster and easier: academic dishonesty, plagiarism, impersonation, deceptive content, research manipulation, generating misleading information. The ease of generation does not change the ethical or legal status of the action. AI fluency includes firm recognition that capability does not imply permission.