White Paper

The Future of Assessment: A Blueprint for Learner Evaluation in an AI World

Let’s be clear: there is (sadly) no crystal ball here at Anthology HQ that can predict the future with absolute accuracy. In just three years since generative AI became widely available, we have seen remarkable changes in both education and industry, and accordingly any forecasts for the future need to be done with honesty and humility.

It is also clear, however, that uncertainty shouldn’t form an excuse for inaction. There can be no reasonable doubt that the ongoing rise of AI will fundamentally change the nature of assessment— and, indeed, the process of education as a whole—making it essential that institutions start to immediately review their approach and prepare for what’s to come.

To lay the groundwork, here are key assumptions we believe can be reasonably made—all of which have a fundamental impact on how higher education should approach assessment.