Higher education has spent considerable time discussing artificial intelligence and academic integrity.
We've developed policies, established acceptable-use guidelines, and defined what students can and cannot do with AI.
But I have a question.
Are we holding our workforce to those same expectations?
Consider a few scenarios.
Vibe Coding: An employee uses AI to develop an application or automate a process. It works today, but nobody understands the underlying code, its security implications, or how to maintain it when something breaks.
Who is responsible for supporting that solution five years from now?
Data and Reporting: An employee uses AI to analyze institutional data and presents the findings to leadership. The results look professional and convincing.
But what happens when AI hallucinates, misinterprets the data, or produces an inaccurate conclusion?
Can the employee simply say, "Well, that's what AI told me"?
Hiring Decisions: A search committee uses AI to screen applications and identify candidates for interviews.
Who validates those recommendations?
What if a qualified candidate is overlooked because the AI focused on a particular keyword, misunderstood relevant experience, or applied criteria nobody intended?
Who is accountable for that decision?
Here's my concern.
We cannot demand academic integrity from students while allowing professional accountability to become optional for employees.
I'm not suggesting we discourage AI adoption. Quite the opposite.
I believe AI can improve productivity, reduce repetitive work, and help us accomplish things that previously required significant time and resources.
But using AI doesn't eliminate the responsibility to understand, validate, and stand behind the work it produces.
If you develop it, you should understand what it does.
If you present the data, you should be able to defend its accuracy.
If you use it to influence a decision, you should be able to explain how that decision was reached.
And if something goes wrong, pointing to the AI shouldn't be an acceptable substitute for accountability.
AI can assist with the work. It cannot assume responsibility for the outcome.
As higher education continues developing AI policies, perhaps we need to spend just as much time discussing employee accountability as we do student academic integrity.
Because the standard shouldn't change simply because someone is receiving a paycheck instead of earning a grade.