Saied Alshahrani is a Computer Science PhD candidate at Clarkson University (CU), Potsdam, New York, USA. He is a member of a few research labs and groups, like a full-time member of Clarkson Accountability and Transparency (CAT) at CU, a part-time member of ASAS AI Lab in Saudi Arabia, and a contributing member of the Arabic Machine Learning community (ARBML). He works with his advisor, Prof. Jeanna Matthews, on studying the representativeness of Arabic NLP corpora/datasets, where he studies the implications of using unrepresentative (auto-generated or template-translated) corpora in Arabic NLP, introduces metrics and tools to promote transparency in these Arabic corpora, and proposes systematic approaches to detect these unrepresentative corpora, all to aid the NLP practitioners and researchers to make an informed decision on whether to use such corpora in training their NLP tasks and systems.