  This research aims to take advantage of artificial intelligence techniques in
producing students assessment that is compatible with the different academic
accreditations of the same program. The possibility of using generative
artificial intelligence technology was studied to produce an academic
accreditation compliant test the National Center for Academic Accreditation of
Kingdom of Saudi Arabia and Accreditation Board for Engineering and Technology.
A novel method was introduced to map the verbs used to create the questions
introduced in the tests. The method allows a possibility of using the
generative artificial intelligence technology to produce and check the validity
of questions that measure educational outcomes. A questionnaire was distributed
to ensure that the use of generative artificial intelligence to create exam
questions is acceptable by the faculty members, as well as to ask about the
acceptance of assistance in validating questions submitted by faculty members
and amending them in accordance with academic accreditations. The questionnaire
was distributed to faculty members of different majors in the Kingdom of Saudi
Arabias universities. one hundred twenty responses obtained with eight five
percentile approval percentage for generate complete exam questions by
generative artificial intelligence . Whereas ninety eight percentage was the
approval percentage for editing and improving already existed questions.
